Related references
Note: Only part of the references are listed.Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling
Albrecht Stenzinger et al.
SEMINARS IN CANCER BIOLOGY (2022)
Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis
Cesare Hassan et al.
GASTROINTESTINAL ENDOSCOPY (2021)
Current and future applications of artificial intelligence in pathology: a clinical perspective
Emad A. Rakha et al.
JOURNAL OF CLINICAL PATHOLOGY (2021)
Artificial Intelligence-Assisted Colonoscopy for Detection of Colon Polyps: a Prospective, Randomized Cohort Study
Yuchen Luo et al.
JOURNAL OF GASTROINTESTINAL SURGERY (2021)
Artificial intelligence and computational pathology
Miao Cui et al.
LABORATORY INVESTIGATION (2021)
Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi et al.
MEDICAL IMAGE ANALYSIS (2021)
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation
David Joon Ho et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2021)
Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps: a systematic review and meta-analysis
Thomas K. L. Lui et al.
GASTROINTESTINAL ENDOSCOPY (2020)
Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
Osamu Iizuka et al.
SCIENTIFIC REPORTS (2020)
Digital pathology and computational image analysis in nephropathology
Laura Barisoni et al.
NATURE REVIEWS NEPHROLOGY (2020)
Artificial intelligence technologies for the detection of colorectal lesions: The future is now
Simona Attardo et al.
WORLD JOURNAL OF GASTROENTEROLOGY (2020)
A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images
Zichao Guo et al.
SCIENTIFIC REPORTS (2019)
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
Jakob Nikolas Kather et al.
PLOS MEDICINE (2019)
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella et al.
NATURE MEDICINE (2019)
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection
Huangjing Lin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Object Detection With Deep Learning: A Review
Zhong-Qiu Zhao et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
The global, regional, and national burden of colorectal cancer and its attributable risk factors in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017
Saeid Safiri et al.
LANCET GASTROENTEROLOGY & HEPATOLOGY (2019)
Evidence Localization for Pathology Images Using Weakly Supervised Learning
Yongxiang Huang et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT I (2019)
Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis
Peng-Jen Chen et al.
GASTROENTEROLOGY (2018)
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Freddie Bray et al.
CA-A CANCER JOURNAL FOR CLINICIANS (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)
Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Eirini Arvaniti et al.
SCIENTIFIC REPORTS (2018)
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer
David F. Steiner et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2018)
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image
Huangjing Lin et al.
2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018) (2018)
Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study)
Sanjay Mukhopadhyay et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2018)
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Yan Xu et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)
Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization
Philipp Kainz et al.
PEERJ (2017)
Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps
Bruno Korbar et al.
2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2017)
The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
David N. Louis et al.
ACTA NEUROPATHOLOGICA (2016)
Advanced endoscopic imaging: European Society of Gastrointestinal Endoscopy (ESGE) Technology Review
James E. East et al.
ENDOSCOPY (2016)
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)
Image analysis and machine learning in digital pathology: Challenges and opportunities
Anant Madabhushi et al.
MEDICAL IMAGE ANALYSIS (2016)
A Resect and Discard Strategy Would Improve Cost-Effectiveness of Colorectal Cancer Screening
Cesare Hassan et al.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2010)
Share Paper
