[HTML][HTML] Classifying colorectal cancer or colorectal polyps in endoscopic setting using convolutional neural network: protocol for a systematic review and meta-analysis
Background: Colorectal cancer (CRC) is the third most common cancer worldwide. Although
colonoscopy screening has been proven as an effective strategy for preventing CRC …
colonoscopy screening has been proven as an effective strategy for preventing CRC …
AI-Based Detection and Localization of Gastrointestinal Polyps by Using Deep Learning, Transfer Learning and the Fusion of These Techniques
Y Chaudhari, US Pirzada, D Baxi - … Mathematical Modeling and …, 2021 - taylorfrancis.com
As per the World Health Organization, colorectal cancer (CRC) is the third most common
cancer found in men and the second most common cancer among women. Colonoscopy is …
cancer found in men and the second most common cancer among women. Colonoscopy is …
Automatic Detection of Polyps in Endoscopic Images with U-Net-Based Model
O Katar - ADVANCES IN NATURAL & APPLIED SCIENCES - researchgate.net
Polyps are precursors of colorectal cancer, which is one of the most common types of cancer
in men and women. Experts use the colonoscopy method to detect polyps. However, during …
in men and women. Experts use the colonoscopy method to detect polyps. However, during …
Prospective study on the use of artificial intelligence in the detection of polyps and adenomas
A Arlt - Der Gastroenterologe, 2019 - Springer
Methoden Die prospektive randomisierte Studie verglich die Polypendetektionsrate einer
Standardkoloskopie mit einer Koloskopie, die zusätzlich mit einem automatischen …
Standardkoloskopie mit einer Koloskopie, die zusätzlich mit einem automatischen …
[引用][C] A Framework With a Fully Convolutional Neural Network for Semi-Automatic Colon Polyp Annotation
J BERGSLAND, L AABAKKEN