Automatic classification of informative laryngoscopic images using deep learning
P Yao, D Witte, H Gimonet, A German… - Laryngoscope …, 2022 - Wiley Online Library
Objective This study aims to develop and validate a convolutional neural network (CNN)‐
based algorithm for automatic selection of informative frames in flexible laryngoscopic …
based algorithm for automatic selection of informative frames in flexible laryngoscopic …
Artificial intelligence for colonoscopy: past, present, and future
During the past decades, many automated image analysis methods have been developed
for colonoscopy. Real-time implementation of the most promising methods during …
for colonoscopy. Real-time implementation of the most promising methods during …
Estimating withdrawal time in colonoscopies
L Katzir, D Veikherman, V Dashinsky… - … on Computer Vision, 2022 - Springer
Abstract The Colonoscopic Withdrawal Time (CWT) is the time required to withdraw the
endoscope during a colonoscopy procedure. Estimating the CWT has several applications …
endoscope during a colonoscopy procedure. Estimating the CWT has several applications …
Automated detection of non-informative frames for colonoscopy through a combination of deep learning and feature extraction
H Yao, RW Stidham, R Soroushmehr… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Colonoscopy is a standard medical examination used to inspect the mucosal surface and
detect abnormalities of the colon. Objective assessment and scoring of disease features in …
detect abnormalities of the colon. Objective assessment and scoring of disease features in …
Non-informative frame classification in colonoscopy videos using CNNs
In the US, colorectal cancer is the second leading cause of cancer-related deaths behind
lung cancer, causing about 49,000 annual deaths. Colonoscopy is currently the gold …
lung cancer, causing about 49,000 annual deaths. Colonoscopy is currently the gold …
[HTML][HTML] Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
Automatic analysis of colonoscopy images has been an active field of research motivated by
the importance of early detection of precancerous polyps. However, detecting polyps during …
the importance of early detection of precancerous polyps. However, detecting polyps during …
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency …
Automatic analysis of colonoscopy images has been an active field of research motivated by
the importance of early detection of precancerous polyps. However, detecting polyps during …
the importance of early detection of precancerous polyps. However, detecting polyps during …
A comprehensive study on automatic non‐informative frame detection in colonoscopy videos
Despite today's developing healthcare technology, conventional colonoscopy is still a gold‐
standard method to detect colon abnormalities. Due to the folded structure of the intestine …
standard method to detect colon abnormalities. Due to the folded structure of the intestine …
An Investigation into Crohn's Disease Lesions Variability Sensing Using Video Colonoscopy and Machine Learning Techniques
J Fiaidhi, S Mohammed, P Zezos - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Crohn's disease (CD) is a chronic inflammatory disease characterized by transmural
inflammation and may affect any part of the gastrointestinal (GI) tract, from the mouth to the …
inflammation and may affect any part of the gastrointestinal (GI) tract, from the mouth to the …
A novel summary report of colonoscopy: timeline visualization providing meaningful colonoscopy video information
Purpose The colonoscopy adenoma detection rate depends largely on physician
experience and skill, and overlooked colorectal adenomas could develop into cancer. This …
experience and skill, and overlooked colorectal adenomas could develop into cancer. This …