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。Digital pathology and artificial intelligence in translational medicine and clinical practice
Vipul Baxi et al.
MODERN PATHOLOGY (2022)
A deep learning model for breast ductal carcinoma in situ classification in whole slide images
Fahdi Kanavati et al.
VIRCHOWS ARCHIV (2022)
The Use and Performance of Artificial Intelligence in Prosthodontics: A Systematic Review
Selina A. Bernauer et al.
SENSORS (2021)
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images
Fahdi Kanavati et al.
SCIENTIFIC REPORTS (2021)
Breast Invasive Ductal Carcinoma Classification on Whole Slide Images with Weakly-Supervised and Transfer Learning
Fahdi Kanavati et al.
CANCERS (2021)
Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging
Yu-Wen Cai et al.
World Journal of Clinical Cases (2021)
Deep Learning Models for Poorly Differentiated Colorectal Adenocarcinoma Classification in Whole Slide Images Using Transfer Learning
Masayuki Tsuneki et al.
DIAGNOSTICS (2021)
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization
Panagiotis Papadimitroulas et al.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS (2021)
A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy
Yoshiki Naito et al.
SCIENTIFIC REPORTS (2021)
A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images
Fahdi Kanavati et al.
SCIENTIFIC REPORTS (2021)
A deep learning approach for dental implant planning in cone-beam computed tomography images
Sevda Kurt Bayrakdar et al.
BMC MEDICAL IMAGING (2021)
Artificial intelligence in molecular imaging
Edward H. Herskovits
ANNALS OF TRANSLATIONAL MEDICINE (2021)
Deep learning for chest X-ray analysis: A survey
Erdi calli et al.
MEDICAL IMAGE ANALYSIS (2021)
QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study
Tae-Hoon Yong et al.
SCIENTIFIC REPORTS (2021)
Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images
Fahdi Kanavati et al.
TECHNOLOGY IN CANCER RESEARCH & TREATMENT (2021)
Developing image analysis pipelines of whole-slide images: Pre- and post-processing
Byron Smith et al.
JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE (2021)
Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study
Falk Schwendicke et al.
JOURNAL OF DENTISTRY (2020)
Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
Osamu Iizuka et al.
SCIENTIFIC REPORTS (2020)
Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries
Syed Javed et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Computer-aided diagnosis in the era of deep learning
Heang-Ping Chan et al.
MEDICAL PHYSICS (2020)
Machine and deep learning methods for radiomics
Michele Avanzo et al.
MEDICAL PHYSICS (2020)
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies
Patricia Raciti et al.
MODERN PATHOLOGY (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)
Weakly-supervised learning for lung carcinoma classification using deep learning
Fahdi Kanavati et al.
SCIENTIFIC REPORTS (2020)
Detecting caries lesions of different radiographic extension on bitewings using deep learning
Anselmo Garcia Cantu et al.
JOURNAL OF DENTISTRY (2020)
Image denoising by transfer learning of generative adversarial network for dental CT
Mohamed A. A. Hegazy et al.
BIOMEDICAL PHYSICS & ENGINEERING EXPRESS (2020)
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain
Yuming Ding et al.
RADIOLOGY (2019)
Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides
Arkadiusz Gertych et al.
SCIENTIFIC REPORTS (2019)
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella et al.
NATURE MEDICINE (2019)
Predicting the Debonding of CAD/CAM Composite Resin Crowns with AI
S. Yamaguchi et al.
JOURNAL OF DENTAL RESEARCH (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)
Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI
Maciej A. Mazurowski et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Deep learning in medical imaging and radiation therapy
Berkman Sahiner et al.
MEDICAL PHYSICS (2019)
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
Jason W. Wei et al.
SCIENTIFIC REPORTS (2019)
5G andintelligence medicine-how the next generation of wireless technology will reconstruct healthcare?
Dong Li
PRECISION CLINICAL MEDICINE (2019)
Potential of artificial intelligence-assisted colonoscopy using an endocytoscope (with video)
Yuichi Mori et al.
DIGESTIVE ENDOSCOPY (2018)
Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy
Gregor Urban et al.
GASTROENTEROLOGY (2018)
Development of Image-enhanced Endoscopy of the Gastrointestinal Tract: A Review of History and Current Evidences
Shiaw-Hooi Ho et al.
JOURNAL OF CLINICAL GASTROENTEROLOGY (2018)
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
Joel Saltz et al.
CELL REPORTS (2018)
Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images
Manhua Liu et al.
FRONTIERS IN NEUROINFORMATICS (2018)
Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm
Jae-Hong Lee et al.
JOURNAL OF DENTISTRY (2018)
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning
Nicolas Coudray et al.
NATURE MEDICINE (2018)
Deep learning analyzes Helicobacter pylori infection by upper gastrointestinal endoscopy images
Takumi Itoh et al.
ENDOSCOPY INTERNATIONAL OPEN (2018)
Clinical role of fluorescence imaging in colorectal surgery - a review
Ido Mizrahi et al.
EXPERT REVIEW OF MEDICAL DEVICES (2017)
Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images
Phillip M. Cheng et al.
JOURNAL OF DIGITAL IMAGING (2017)
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
Xin Luo et al.
JOURNAL OF THORACIC ONCOLOGY (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin et al.
NATURE REVIEWS CLINICAL ONCOLOGY (2017)
Classifying and segmenting microscopy images with deep multiple instance learning
Oren Z. Kraus et al.
BIOINFORMATICS (2016)
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Predicting the Future - Big Data, Machine Learning, and Clinical Medicine
Ziad Obermeyer et al.
NEW ENGLAND JOURNAL OF MEDICINE (2016)
Diagnostic value of high-resolution micro-endoscopy for the classification of colon polyps
Tao Tan et al.
WORLD JOURNAL OF GASTROENTEROLOGY (2016)
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Geert Litjens et al.
SCIENTIFIC REPORTS (2016)
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J. W. L. Aerts et al.
NATURE COMMUNICATIONS (2014)
Central Pathology Review for Phase III Clinical Trials
Pawel Mroz et al.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE (2013)
Radiomics: Extracting more information from medical images using advanced feature analysis
Philippe Lambin et al.
EUROPEAN JOURNAL OF CANCER (2012)
The Lung Image Database Consortium, (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
Samuel G. Armato et al.
MEDICAL PHYSICS (2011)
分享论文
