[HTML][HTML] Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Colorectal cancer has a great incidence rate worldwide, but its early detection significantly
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions
OF Ahmad, AS Soares, E Mazomenos… - The lancet …, 2019 - thelancet.com
Computer-aided diagnosis offers a promising solution to reduce variation in colonoscopy
performance. Pooled miss rates for polyps are as high as 22%, and associated interval …
performance. Pooled miss rates for polyps are as high as 22%, and associated interval …
Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy
G Urban, P Tripathi, T Alkayali, M Mittal, F Jalali… - Gastroenterology, 2018 - Elsevier
Background & Aims The benefit of colonoscopy for colorectal cancer prevention depends on
the adenoma detection rate (ADR). The ADR should reflect the adenoma prevalence rate …
the adenoma detection rate (ADR). The ADR should reflect the adenoma prevalence rate …
A benchmark for endoluminal scene segmentation of colonoscopy images
Colorectal cancer (CRC) is the third cause of cancer death worldwide. Currently, the
standard approach to reduce CRC‐related mortality is to perform regular screening in …
standard approach to reduce CRC‐related mortality is to perform regular screening in …
Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge
Colonoscopy is the gold standard for colon cancer screening though some polyps are still
missed, thus preventing early disease detection and treatment. Several computational …
missed, thus preventing early disease detection and treatment. Several computational …
Automatic colon polyp detection using region based deep CNN and post learning approaches
Automatic image detection of colonic polyps is still an unsolved problem due to the large
variation of polyps in terms of shape, texture, size, and color, and the existence of various …
variation of polyps in terms of shape, texture, size, and color, and the existence of various …
Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker
A computer-aided detection (CAD) tool for locating and detecting polyps can help reduce the
chance of missing polyps during colonoscopy. Nevertheless, state-of-the-art algorithms were …
chance of missing polyps during colonoscopy. Nevertheless, state-of-the-art algorithms were …
[HTML][HTML] Diagnostic accuracy of artificial intelligence and computer-aided diagnosis for the detection and characterization of colorectal polyps: systematic review and …
S Nazarian, B Glover, H Ashrafian, A Darzi… - Journal of medical …, 2021 - jmir.org
Background Colonoscopy reduces the incidence of colorectal cancer (CRC) by allowing
detection and resection of neoplastic polyps. Evidence shows that many small polyps are …
detection and resection of neoplastic polyps. Evidence shows that many small polyps are …
Real-time gastric polyp detection using convolutional neural networks
Computer-aided polyp detection in gastric gastroscopy has been the subject of research
over the past few decades. However, despite significant advances, automatic polyp …
over the past few decades. However, despite significant advances, automatic polyp …
[HTML][HTML] Artificial intelligence-assisted colonoscopy: A review of current state of practice and research
M Taghiakbari, Y Mori… - World journal of …, 2021 - ncbi.nlm.nih.gov
Colonoscopy is an effective screening procedure in colorectal cancer prevention programs;
however, colonoscopy practice can vary in terms of lesion detection, classification, and …
however, colonoscopy practice can vary in terms of lesion detection, classification, and …