Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects

Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations

(2020) Eun Hyo Jin et al.   GASTROENTEROLOGY

ACCURACY OF ARTIFICIAL INTELLIGENCE ON HISTOLOGY PREDICTION AND DETECTION OF COLORECTAL POLYPS: A SYSTEMATIC REVIEW AND META-ANALYSIS

(2020) Thomas KL. Lui et al.   GASTROINTESTINAL ENDOSCOPY

Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

(2020) Eun Mi Song et al.   Scientific Reports

Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

(2020) Pu Wang et al.   Lancet Gastroenterology & Hepatology

Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology

(2019) Min Min et al.   Scientific Reports

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

(2019) Pu Wang et al.   GUT

Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer

(2019) Lei Ding et al.   CHINESE MEDICAL JOURNAL

Narrow-band Imaging for Detection of Neoplasia at Colonoscopy: a Meta-analysis of Data From Individual Patients in Randomized Controlled Trials

(2019) N.S.S. Atkinson et al.   GASTROENTEROLOGY

Real-time computer-aided diagnosis of diminutive rectosigmoid polyps using an auto-fluorescence imaging system and novel color intensity analysis software

(2019) Hideka Horiuchi et al.   SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY

Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms

(2019) Shin-ei Kudo et al.   Clinical Gastroenterology and Hepatology

Impact of real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with video)

(2019) Jing-Ran Su et al.   GASTROINTESTINAL ENDOSCOPY

Deep learning techniques for detecting preneoplastic and neoplastic lesions in human colorectal histological images

(2019) Paola Sena et al.   Oncology Letters

Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves “Resect and Discard” Thresholds

(2019) Robin Zachariah et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets

(2019) Shu Zhang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection

(2019) Cesare Hassan et al.   GUT

Effectiveness of a Deep-learning Polyp Detection System in Prospectively Collected Colonoscopy Videos With Variable Bowel Preparation Quality

(2019) Aymeric Becq et al.   JOURNAL OF CLINICAL GASTROENTEROLOGY

ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

(2019) Łukasz Rączkowski et al.   Scientific Reports

Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy

(2019) Masayoshi Yamada et al.   Scientific Reports

Use of Endoscopic Impression, Artificial Intelligence, and Pathologist Interpretation to Resolve Discrepancies Between Endoscopy and Pathology Analyses of Diminutive Colorectal Polyps

(2019) Neal Shahidi et al.   GASTROENTEROLOGY

Identification of Metastatic Lymph Nodes in MR Imaging with Faster Region-based Convolutional Neural Network

(2018) Yun Lu et al.   CANCER RESEARCH

Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

(2018) Masashi Misawa et al.   GASTROENTEROLOGY

Deep Learning Localizes and Identifies Polyps in Real Time with 96% Accuracy in Screening Colonoscopy

(2018) Gregor Urban et al.   GASTROENTEROLOGY

Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis

(2018) Peng-Jen Chen et al.   GASTROENTEROLOGY

Technical Note: A deep learning-based autosegmentation of rectal tumors in MR images

(2018) Jiazhou Wang et al.   MEDICAL PHYSICS

Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

(2018) Zhixi Li et al.   OPHTHALMOLOGY

Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker

(2018) Ruikai Zhang et al.   PATTERN RECOGNITION

Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy

(2018) Yuichi Mori et al.   ANNALS OF INTERNAL MEDICINE

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Automatic polyp frame screening using patch based combined feature and dictionary learning

(2018) Younghak Shin et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Tumor Identification in Colorectal Histology Images Using a Convolutional Neural Network

(2018) Hongjun Yoon et al.   JOURNAL OF DIGITAL IMAGING

Endoscopic Diagnostic Support System for cT1b Colorectal Cancer Using Deep Learning

(2018) Nao Ito et al.   ONCOLOGY

Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy

(2018) Pu Wang et al.   Nature Biomedical Engineering

Computer-aided prediction of polyp histology on white light colonoscopy using surface pattern analysis

(2018) Cristina Sánchez-Montes et al.   ENDOSCOPY

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

(2018) Yoshimasa Horie et al.   GASTROINTESTINAL ENDOSCOPY

Automated polyp detection in the colorectum: a prospective study (with videos)

(2018) Peter Klare et al.   GASTROINTESTINAL ENDOSCOPY

Accuracy of diagnosing invasive colorectal cancer using computer-aided endocytoscopy

(2017) Kenichi Takeda et al.   ENDOSCOPY

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model

(2017) Michael F Byrne et al.   GUT

Deep learning for polyp recognition in wireless capsule endoscopy images

(2017) Yixuan Yuan et al.   MEDICAL PHYSICS

Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience

(2017) Yoriaki Komeda et al.   ONCOLOGY

Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts

(2017) Masashi Misawa et al.   International Journal of Computer Assisted Radiology and Surgery

Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain

(2017) Ruikai Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

(2017) Lequan Yu et al.   IEEE Journal of Biomedical and Health Informatics

Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization

(2017) Philipp Kainz et al.   PeerJ

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

(2017) Stefano Trebeschi et al.   Scientific Reports

In vivoassessment of tumour angiogenesis in colorectal cancer: the role of confocal laser endomicroscopy

(2016) G. D. De Palma et al.   Colorectal Disease

Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification

(2016) Eduardo Ribeiro et al.   Computational and Mathematical Methods in Medicine

Impact of an automated system for endocytoscopic diagnosis of small colorectal lesions: an international web-based study

(2016) Yuichi Mori et al.   ENDOSCOPY

Characterization of Colorectal Lesions Using a Computer-Aided Diagnostic System for Narrow-Band Imaging Endocytoscopy

(2016) Masashi Misawa et al.   GASTROENTEROLOGY

Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy

(2016) Yoko Kominami et al.   GASTROINTESTINAL ENDOSCOPY

Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Artificial Intelligence and Medical Research: Time to Aim Higher?

(2016) Aubrey D.N.J. de Grey   REJUVENATION RESEARCH

Predicting protein complexes from weighted protein–protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering

(2015) Konstantinos Theofilatos et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Novel computer-aided diagnostic system for colorectal lesions by using endocytoscopy (with videos)

(2015) Yuichi Mori et al.   GASTROINTESTINAL ENDOSCOPY

Advanced colonoscopic imaging using endocytoscopy

(2014) Helmut Neumann et al.   Digestive Endoscopy

Adenoma Detection Rate and Risk of Colorectal Cancer and Death

(2014) Douglas A. Corley et al.   NEW ENGLAND JOURNAL OF MEDICINE

Assessment of adenoma detection rate benchmarks in women versus men

(2013) Susan G. Coe et al.   GASTROINTESTINAL ENDOSCOPY

Colorectal cancer

(2013) Hermann Brenner et al.   LANCET

Factors influencing the miss rate of polyps in a back-to-back colonoscopy study

(2012) A. Leufkens et al.   ENDOSCOPY

The Miss Rate for Colorectal Adenoma Determined by Quality-Adjusted, Back-to-Back Colonoscopies

(2012) Sang Bong Ahn et al.   Gut and Liver