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。Burden of Gastric Cancer
Aaron P. Thrift et al.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2020)
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Ramprasaath R. Selvaraju et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)
Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning
Haotian Liao et al.
ANNALS OF SURGICAL ONCOLOGY (2020)
Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
Osamu Iizuka et al.
SCIENTIFIC REPORTS (2020)
Network-Based Combinatorial CRISPR-Cas9 Screens Identify Synergistic Modules in Human Cells
Yucheng Guo et al.
ACS SYNTHETIC BIOLOGY (2019)
Unsupervised Domain Adaptation for Classification of Histopathology Whole-Slide Images
Jian Ren et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2019)
Automated brain histology classification using machine learning
Justin Ker et al.
JOURNAL OF CLINICAL NEUROSCIENCE (2019)
Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer
Qiong Li et al.
CLINICAL AND TRANSLATIONAL GASTROENTEROLOGY (2019)
Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
Xiangchun Li et al.
LANCET ONCOLOGY (2019)
U-Net: deep learning for cell counting, detection, and morphometry
Thorsten Falk et al.
NATURE METHODS (2019)
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention
Richard Droste et al.
INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2019 (2019)
A High-Performance System for Robust Stain Normalization of Whole-Slide Images in Histopathology
Andreea Anghel et al.
FRONTIERS IN MEDICINE (2019)
A study about color normalization methods for histopathology images
Santanu Roy et al.
MICRON (2018)
Clinically applicable deep learning for diagnosis and referral in retinal disease
Jeffrey De Fauw et al.
NATURE MEDICINE (2018)
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning
Nicolas Coudray et al.
NATURE MEDICINE (2018)
Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome
Shidan Wang et al.
SCIENTIFIC REPORTS (2018)
What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images
Kenneth A. Philbrick et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2018)
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
A comparative study of cell nuclei attributed relational graphs for knowledge description and categorization in histopathological gastric cancer whole slide images
Harshita Sharma et al.
2017 IEEE 30TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) (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)
Stain Specific Standardization of Whole-Slide Histopathological Images
Babak Ehteshami Bejnordi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
Abhishek Vahadane et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
A method for normalizing pathology images to improve feature extraction for quantitative pathology
Allison Tam et al.
MEDICAL PHYSICS (2016)
Appearance normalization of histology slides
Jared Vicory et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2015)
Genetics and Molecular Pathogenesis of Gastric Adenocarcinoma
Patrick Tan et al.
GASTROENTEROLOGY (2015)
Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens (vol 313, pg 1122, 2015)
Joann G. Elmore et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Diagnostic Concordance Among Pathologists interpreting Breast Biopsy Specimens
Joann G. Elmore et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2015)
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
Adnan Mujahid Khan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
Treatment of gastric cancer
Michele Orditura et al.
WORLD JOURNAL OF GASTROENTEROLOGY (2014)
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features
Haibo Wang et al.
JOURNAL OF MEDICAL IMAGING (2014)
A Cohort Study and Meta-Analysis between Histopathological Classification and Prognosis of Gastric Carcinoma
Lei Liu et al.
ANTI-CANCER AGENTS IN MEDICINAL CHEMISTRY (2013)
Representation Learning: A Review and New Perspectives
Yoshua Bengio et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
The diagnosis and management of gastric cancer
Sri G. Thrumurthy et al.
BMJ-BRITISH MEDICAL JOURNAL (2013)
Digital Imaging in Pathology: Whole-Slide Imaging and Beyond
Farzad Ghaznavi et al.
Annual Review of Pathology-Mechanisms of Disease (2011)
Support vector machine model for diagnosis of lymph node metastasis in gastric cancer with multidetector computed tomography: a preliminary study
Xiao-Peng Zhang et al.
BMC CANCER (2011)
Evaluation of the Seventh American Joint Committee on Cancer/International Union Against Cancer Classification of Gastric Adenocarcinoma in Comparison With the Sixth Classification
Hye Seong Ahn et al.
CANCER (2010)
Survival analysis: up from Kaplan-Meier-Greenwood
Olli S. Miettinen
EUROPEAN JOURNAL OF EPIDEMIOLOGY (2008)
Projections of global mortality and burden of disease from 2002 to 2030
Colin D. Mathers et al.
PLOS MEDICINE (2006)
Clinical impact and frequency of anatomic pathology errors in cancer diagnoses
SS Raab et al.
CANCER (2005)
Color transfer between images
E Reinhard et al.
IEEE COMPUTER GRAPHICS AND APPLICATIONS (2001)
Interobserver reproducibility of cervical cytologic and histologic interpretations - Realistic estimates from the ASCUS-LSIL triage study
MH Stoler et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2001)