相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning
Korsuk Sirinukunwattana et al.
GUT (2021)
Application of Artificial Intelligence in Gastrointestinal Endoscopy
Jia Wu et al.
JOURNAL OF CLINICAL GASTROENTEROLOGY (2021)
Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid-enhanced MRI
Stefanie J. Hectors et al.
EUROPEAN RADIOLOGY (2021)
Potentials of AI in medical image analysis in Gastroenterology and Hepatology
Hao Chen et al.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2021)
Artificial intelligence in upper GI endoscopy - current status, challenges and future promise
Honggang Yu et al.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2021)
Artificial intelligence in colonoscopy - Now on the market. What's next?
Yuichi Mori et al.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2021)
Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy
Ying Zhao et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2021)
Clinical-Radiomic Analysis for Pretreatment Prediction of Objective Response to First Transarterial Chemoembolization in Hepatocellular Carcinoma
Mingyu Chen et al.
LIVER CANCER (2021)
Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease
Wen Cao et al.
JOURNAL OF ULTRASOUND IN MEDICINE (2020)
Automatic detection of small bowel tumors in wireless capsule endoscopy images using ensemble learning
Pedro M. Vieira et al.
MEDICAL PHYSICS (2020)
Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules
Fatima-Zohra Mokrane et al.
EUROPEAN RADIOLOGY (2020)
Real-time use of artificial intelligence in the evaluation of cancer in Barrett's oesophagus
Alanna Ebigbo et al.
GUT (2020)
Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging
Yusuke Horiuchi et al.
DIGESTIVE DISEASES AND SCIENCES (2020)
Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network
Tomonori Aoki et al.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2020)
Detecting liver fibrosis using a machine learning-based approach to the quantification of the heart-induced deformation in tagged MR images
Yasmine Ahmed et al.
NMR IN BIOMEDICINE (2020)
High-Throughput, Machine Learning-Based Quantification of Steatosis, Inflammation, Ballooning, and Fibrosis in Biopsies From Patients With Nonalcoholic Fatty Liver Disease
Roberta Forlano et al.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2020)
Application of Artificial Intelligence to Gastroenterology and Hepatology
Catherine Le Berre et al.
GASTROENTEROLOGY (2020)
Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett's esophagus (with video)
Rintaro Hashimoto et al.
GASTROINTESTINAL ENDOSCOPY (2020)
Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological Slides
Charlie Saillard et al.
HEPATOLOGY (2020)
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
Ole-Johan Skrede et al.
LANCET (2020)
Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma
Yoshitaka Tokai et al.
ESOPHAGUS (2020)
Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
Osamu Iizuka et al.
SCIENTIFIC REPORTS (2020)
WCE polyp detection based on novel feature descriptor with normalized variance locality-constrained linear coding
Jianjun Yang et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2020)
Real-time detection of colon polyps during colonoscopy using deep learning: systematic validation with four independent datasets
Ji Young Lee et al.
SCIENTIFIC REPORTS (2020)
Deep pancreas segmentation with uncertain regions of shadowed sets
Haiyan Zheng et al.
MAGNETIC RESONANCE IMAGING (2020)
Artificial intelligence in gastroenterology: where are we heading?
Joseph J. Y. Sung et al.
FRONTIERS OF MEDICINE (2020)
Deep Learning Radiomics Based on Contrast-Enhanced Ultrasound Might Optimize Curative Treatments for Very-Early or Early-Stage Hepatocellular Carcinoma Patients
Fei Liu et al.
LIVER CANCER (2020)
Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol
Wenqi Shi et al.
ABDOMINAL RADIOLOGY (2020)
Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images
Yi Dong et al.
FRONTIERS IN ONCOLOGY (2020)
A novel machine learning algorithm to predict disease free survival after resection of hepatocellular carcinoma
Markus Bo Schoenberg et al.
ANNALS OF TRANSLATIONAL MEDICINE (2020)
Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning
Amelie Echle et al.
GASTROENTEROLOGY (2020)
Highly accurate artificial intelligence systems to predict the invasion depth of gastric cancer: efficacy of conventional white-light imaging, nonmagnifying narrow-band imaging, and indigo-carmine dye contrast imaging
Sayaka Nagao et al.
GASTROINTESTINAL ENDOSCOPY (2020)
Deep learning and level set approach for liver and tumor segmentation from CT scans
Omar Ibrahim Alirr
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS (2020)
Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study
Qi Yang et al.
EBIOMEDICINE (2020)
Predict Ki-67 Positive Cells in H&E-Stained Images Using Deep Learning Independently From IHC-Stained Images
Yiqing Liu et al.
FRONTIERS IN MOLECULAR BIOSCIENCES (2020)
Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning
Mingyu Chen et al.
NPJ PRECISION ONCOLOGY (2020)
Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides
Jason W. Wei et al.
JAMA NETWORK OPEN (2020)
Association of inflammatory biomarkers with clinical outcomes in nivolumab-treated patients with advanced hepatocellular carcinoma
Bruno Sangro et al.
JOURNAL OF HEPATOLOGY (2020)
Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer
Dejun Zhou et al.
NATURE COMMUNICATIONS (2020)
Identification of Gastritis Subtypes by Convolutional Neuronal Networks on Histological Images of Antrum and Corpus Biopsies
Georg Steinbuss et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2020)
Advances in synthetic lethality for cancer therapy: cellular mechanism and clinical translation
Win Topatana et al.
JOURNAL OF HEMATOLOGY & ONCOLOGY (2020)
Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists
Zhigang Song et al.
BMJ OPEN (2020)
Artificial Intelligence-Based Multiclass Classification of Benign or Malignant Mucosal Lesions of the Stomach
Bowei Ma et al.
FRONTIERS IN PHARMACOLOGY (2020)
Radiomic Feature-Based Predictive Model for Microvascular Invasion in Patients With Hepatocellular Carcinoma
Mu He et al.
FRONTIERS IN ONCOLOGY (2020)
Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning
Hyun-Jong Jang et al.
WORLD JOURNAL OF GASTROENTEROLOGY (2020)
Development of synthetic lethality in cancer: molecular and cellular classification
Shijie Li et al.
SIGNAL TRANSDUCTION AND TARGETED THERAPY (2020)
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
Yu Fu et al.
NATURE CANCER (2020)
Impact of a deep learning assistant on the histopathologic classification of liver cancer
Amirhossein Kiani et al.
NPJ DIGITAL MEDICINE (2020)
Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
Michael F. Byrne et al.
GUT (2019)
A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy
Romain Leenhardt et al.
GASTROINTESTINAL ENDOSCOPY (2019)
Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study
Kun Wang et al.
GUT (2019)
Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis
Wei Li et al.
EUROPEAN RADIOLOGY (2019)
Endoscopic Diagnostic Support System for cT1b Colorectal Cancer Using Deep Learning
Nao Ito et al.
ONCOLOGY (2019)
Prognostic and Therapeutic Implications of Microvascular Invasion in Hepatocellular Carcinoma
Derek J. Erstad et al.
ANNALS OF SURGICAL ONCOLOGY (2019)
Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT
Xiaohong Ma et al.
EUROPEAN RADIOLOGY (2019)
Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy
Lianlian Wu et al.
GUT (2019)
Self-driving cars and AI-assisted endoscopy: Who should take the responsibility when things go wrong?
Nicholas C. H. Poon et al.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2019)
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
Oscar G. F. Geessink et al.
CELLULAR ONCOLOGY (2019)
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
Jakob Nikolas Kather et al.
PLOS MEDICINE (2019)
Diagnosis of focal liver lesions from ultrasound using deep learning
B. Schmauch et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2019)
Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data
Lili He et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2019)
A deep neural network improves endoscopic detection of early gastric cancer without blind spots
Lianlian Wu et al.
ENDOSCOPY (2019)
Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI
Charlie A. Hamm et al.
EUROPEAN RADIOLOGY (2019)
Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features
Clinton J. Wang et al.
EUROPEAN RADIOLOGY (2019)
Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists
Kentaro Nakagawa et al.
GASTROINTESTINAL ENDOSCOPY (2019)
Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment
Ilias Gatos et al.
MEDICAL PHYSICS (2019)
Application of artificial intelligence in gastroenterology
Young Joo Yang et al.
WORLD JOURNAL OF GASTROENTEROLOGY (2019)
Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT
Akash Nayak et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2019)
Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video)
Shi-Lun Cai et al.
GASTROINTESTINAL ENDOSCOPY (2019)
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
Jakob Nikolas Kather et al.
NATURE MEDICINE (2019)
Automatic classification of focal liver lesions based on MRI and risk factors
Marielle J. A. Jansen et al.
PLOS ONE (2019)
Computer-assisted diagnosis of early esophageal squamous cell carcinoma using narrow-band imaging magnifying endoscopy
Yuan-Yuan Zhao et al.
ENDOSCOPY (2019)
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
Yoshimasa Horie et al.
GASTROINTESTINAL ENDOSCOPY (2019)
Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy
Yan Zhu et al.
GASTROINTESTINAL ENDOSCOPY (2019)
A guide to deep learning in healthcare
Andre Esteva et al.
NATURE MEDICINE (2019)
Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study
Huiyan Luo et al.
LANCET ONCOLOGY (2019)
Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus
Youichi Kumagai et al.
ESOPHAGUS (2019)
Addressing priority challenges in the detection and assessment of colorectal polyps from capsule endoscopy and colonoscopy in colorectal cancer screening using machine learning
Victoria Blanes-Vidal et al.
ACTA ONCOLOGICA (2019)
Accurate Gastric Cancer Segmentation in Digital Pathology Images Using Deformable Convolution and Multi-Scale Embedding Networks
Muyi Sun et al.
IEEE ACCESS (2019)
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides
Naofumi Tomita et al.
JAMA NETWORK OPEN (2019)
A Machine Learning Model to Predict Hepatocellular Carcinoma Response to Transcatheter Arterial Chemoembolization
Ali Morshid et al.
RADIOLOGY-ARTIFICIAL INTELLIGENCE (2019)
Deep Learning With Sampling in Colon Cancer Histology
Mary Shapcott et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2019)
Trends in the US and Canadian Pathologist Workforces From 2007 to 2017
David M. Metter et al.
JAMA NETWORK OPEN (2019)
Automated histological classification of whole-slide images of gastric biopsy specimens
Hiroshi Yoshida et al.
GASTRIC CANCER (2018)
A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images
Le-Hang Guo et al.
CLINICAL HEMORHEOLOGY AND MICROCIRCULATION (2018)
Computer assisted gastric abnormalities detection using hybrid texture descriptors for chromoendoscopy images
Hussam Ali et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm
Mainak Biswas et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
Toshiaki Hirasawa et al.
GASTRIC CANCER (2018)
Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience
Masashi Misawa et al.
GASTROENTEROLOGY (2018)
Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy
Gregor Urban et al.
GASTROENTEROLOGY (2018)
Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis
Peng-Jen Chen et al.
GASTROENTEROLOGY (2018)
Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging
Takashi Kanesaka et al.
GASTROINTESTINAL ENDOSCOPY (2018)
EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma
Peter R. Galle et al.
JOURNAL OF HEPATOLOGY (2018)
Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning -An Artificial Intelligence Concept
Aaron Abajian et al.
JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY (2018)
Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study
Koichiro Yasaka et al.
RADIOLOGY (2018)
Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
Hirotoshi Takiyama et al.
SCIENTIFIC REPORTS (2018)
Deep learning based tissue analysis predicts outcome in colorectal cancer
Dmitrii Bychkov et al.
SCIENTIFIC REPORTS (2018)
Gastric Pathology Image Classification Using Stepwise Fine-Tuning for Deep Neural Networks
Jia Qu et al.
JOURNAL OF HEALTHCARE ENGINEERING (2018)
Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy A Prospective Study
Yuichi Mori et al.
ANNALS OF INTERNAL MEDICINE (2018)
Clinical Implications and Challenges of Artificial Intelligence and Deep Learning
William W. Stead
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)
Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT
Bulat Ibragimov et al.
MEDICAL PHYSICS (2018)
Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver
Kyu Jin Choi et al.
RADIOLOGY (2018)
Optical classification of neoplastic colorectal polyps - a computer-assisted approach (the COACH study)
Janis Renner et al.
SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY (2018)
Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images
Michal Byra et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2018)
Physicians' Workloads in China: 1998-2016
Yanhong Fu et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)
Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy
Pu Wang et al.
NATURE BIOMEDICAL ENGINEERING (2018)
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Aaron Abajian et al.
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS (2018)
Deep learning for healthcare: review, opportunities and challenges
Riccardo Miotto et al.
BRIEFINGS IN BIOINFORMATICS (2018)
Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework
Fan Zhang et al.
PATCH-BASED TECHNIQUES IN MEDICAL IMAGING, PATCH-MI 2018 (2018)
Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer
Kumardeep Chaudharyl et al.
CLINICAL CANCER RESEARCH (2018)
Detection of lesions in dysplastic Barrett's esophagus by community and expert endoscopists
Dirk W. Scholvinck et al.
ENDOSCOPY (2017)
Malignancy Characterization of Hepatocellular Carcinomas Based on Texture Analysis of Contrast-Enhanced MR Images
Wu Zhou et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2017)
Accuracy of diagnosing invasive colorectal cancer using computer-aided endocytoscopy
Kenichi Takeda et al.
ENDOSCOPY (2017)
Computer-aided detection of early Barrett's neoplasia using volumetric laser endomicroscopy
Anne-Fre Swager et al.
GASTROINTESTINAL ENDOSCOPY (2017)
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization
Venkatanareshbabu Kuppili et al.
JOURNAL OF MEDICAL SYSTEMS (2017)
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin et al.
NATURE REVIEWS CLINICAL ONCOLOGY (2017)
Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience
Yoriaki Komeda et al.
ONCOLOGY (2017)
A MACHINE-LEARNING ALGORITHM TOWARD COLOR ANALYSIS FOR CHRONIC LIVER DISEASE CLASSIFICATION, EMPLOYING ULTRASOUND SHEAR WAVE ELASTOGRAPHY
Ilias Gatos et al.
ULTRASOUND IN MEDICINE AND BIOLOGY (2017)
Automatic detection of new tumors and tumor burden evaluation in longitudinal liver CT scan studies
R. Vivanti et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2017)
Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts
Masashi Misawa et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2017)
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification
Ashnil Kumar et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology
Harshita Sharma et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2017)
Machine-learning-based classification of real-time tissue elastography for hepatic fibrosis in patients with chronic hepatitis B
Yang Chen et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2017)
Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading
Siqi Li et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2017)
Derivation and Internal Validation of a Clinical Prediction Tool for 30-Day Mortality in Lower Gastrointestinal Bleeding
Neil Sengupta et al.
AMERICAN JOURNAL OF MEDICINE (2017)
ACG Clinical Guideline: Diagnosis and Management of Barrett's Esophagus
Nicholas J. Shaheen et al.
AMERICAN JOURNAL OF GASTROENTEROLOGY (2016)
Detection of small colon bleeding in wireless capsule endoscopy videos
Muhammad Arslan Usman et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2016)
Computer-aided detection of early neoplastic lesions in Barrett's esophagus
Fons van der Sommen et al.
ENDOSCOPY (2016)
Exploring the clinical potential of an automatic colonic polyp detection method based on the creation of energy maps
Gloria Fernandez-Esparrach et al.
ENDOSCOPY (2016)
Machine Learning and the Profession of Medicine
Alison M. Darcy et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
A new computer aided diagnosis system for evaluation of chronic liver disease with ultrasound shear wave elastography imaging
Ilias Gatos et al.
MEDICAL PHYSICS (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
Automated biphasic morphological assessment of hepatitis B-related liver fibrosis using second harmonic generation microscopy
Tong-Hong Wang et al.
SCIENTIFIC REPORTS (2015)
Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting
Lakshmana Ayaru et al.
PLOS ONE (2015)
Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods
Ja-Der Liang et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2014)
British Society of Gastroenterology guidelines on the diagnosis and management of Barrett's oesophagus
Rebecca C. Fitzgerald et al.
GUT (2014)
How commonly is upper gastrointestinal cancer missed at endoscopy? A meta-analysis
Shyam Menon et al.
ENDOSCOPY INTERNATIONAL OPEN (2014)
Representation Learning: A Review and New Perspectives
Yoshua Bengio et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Medical image analysis: computer-aided diagnosis of gastric cancer invasion on endoscopic images
Keisuke Kubota et al.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2012)
The radiologist's conundrum: benefits and costs of increasing CT capacity and utilization - Opinion
Giles W. L. Boland et al.
EUROPEAN RADIOLOGY (2009)
分享论文
