Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review

A Musha, R Hasnat, AA Mamun, EP **, T Ghosh - Sensors, 2023 - mdpi.com
Capsule endoscopy (CE) is a widely used medical imaging tool for the diagnosis of
gastrointestinal tract abnormalities like bleeding. However, CE captures a huge number of …

Machine learning techniques for medical images in PCOS

A Makhdoomi, N Jan, P Palak… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Polycystic Ovary Syndrome is an endocrine and lifestyle disorder that affects women of the
reproductive age. It is a disorder that causes the ovaries to enlarge due to the presence of …

AI-KODA score application for cleanliness assessment in video capsule endoscopy frames

P Handa, N Goel, S Indu, D Gunjan - Minimally Invasive Therapy & …, 2024 - Taylor & Francis
Background Currently, there is no automated method for assessing cleanliness in video
capsule endoscopy (VCE). Our objectives were to automate the process of evaluating and …

Auto-WCEBleedGen Version V1 and V2: Challenge, Datasets and Evaluation

M Hub, P Handa, D Nautiyal, D Chhabra, M Dhir… - Authorea …, 2024 - authorea.com
In this document, we provide an overview of the Auto-WCEBleedGen Version V1 and V2.
The challenge V1 was organized virtually by MISAHUB (Medical Imaging and Signal …

Deep Ensemble Feature Extraction Based Classification of Bleeding Regions Using Wireless Capsule Endoscopy Images

S Bandopadhyay, K Roy, SS Chaudhuri… - … Data Analytics for …, 2024 - books.google.com
Wireless capsule endoscopy (WCE) is a minimally invasive medical imaging technique that
provides real-time visual information about the digestive system, enabling the detection and …