Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

(2020) Hanna Borgli et al.   Scientific Data

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

(2019) Cesare Hassan et al.   GUT

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

(2018) Pu Wang et al.   Nature Biomedical Engineering

Classification of Paediatric Inflammatory Bowel Disease using Machine Learning

(2017) E. Mossotto et al.   Scientific Reports

Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

(2017) Sabri Boughorbel et al.   PLoS One

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning for visual understanding: A review

(2016) Yanming Guo et al.   NEUROCOMPUTING

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT