Capsule vision 2024 challenge: Multi-class abnormality classification for video capsule endoscopy
We present the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for
Video Capsule Endoscopy. It is being virtually organized by the Research Center for …
Video Capsule Endoscopy. It is being virtually organized by the Research Center for …
Cross-modal hybrid architectures for gastrointestinal tract image analysis: A systematic review and futuristic applications
This review paper presents an in-depth exploration of gastrointestinal (GI) tract image
analysis, particularly emphasizing organ and polyp segmentation. It addresses the inherent …
analysis, particularly emphasizing organ and polyp segmentation. It addresses the inherent …
An algorithm for automated segmentation for bleeding detection in endoscopic images
Wireless capsule endoscopy is an important advanced diagnostics method. It produces
huge amount of images during travel through patient's digestive tract and that usually …
huge amount of images during travel through patient's digestive tract and that usually …
Frontiers in intelligent colonoscopy
Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer.
This study investigates the frontiers of intelligent colonoscopy techniques and their …
This study investigates the frontiers of intelligent colonoscopy techniques and their …
Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network
Abstract Convolutional Neural Networks (CNNs) are widely adopted in the automatic
analysis of abnormalities in medical imaging applications. Although CNN structures are …
analysis of abnormalities in medical imaging applications. Although CNN structures are …
Performance assessment of a bleeding detection algorithm for endoscopic video based on classifier fusion method and exhaustive feature selection
Capsule Endoscopy (CE) is a non-invasive clinical procedure that allows examination of the
entire gastrointestinal tract including parts of small intestine beyond the scope of …
entire gastrointestinal tract including parts of small intestine beyond the scope of …
Automated bleeding detection in wireless capsule endoscopy images based on color feature extraction from Gaussian mixture model superpixels
S Rathnamala, S Jenicka - Medical & biological engineering & computing, 2021 - Springer
Wireless capsule endoscopy is the commonly employed modality in the treatment of
gastrointestinal tract pathologies. However, the time taken for interpretation of these images …
gastrointestinal tract pathologies. However, the time taken for interpretation of these images …
Artificial Intelligence in Gastrointestinal Bleeding Analysis for Video Capsule Endoscopy: Insights, Innovations, and Prospects (2008-2023)
The escalating global mortality and morbidity rates associated with gastrointestinal (GI)
bleeding, compounded by the complexities and limitations of traditional endoscopic …
bleeding, compounded by the complexities and limitations of traditional endoscopic …
Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames
Wireless capsule endoscopy (WCE) is an effective means for diagnosis of gastrointestinal
disorders. Detection of informative scenes in WCE video could reduce the length of …
disorders. Detection of informative scenes in WCE video could reduce the length of …
WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation
Computer-based analysis of Wireless Capsule Endoscopy (WCE) is crucial. However, a
medically annotated WCE dataset for training and evaluation of automatic classification …
medically annotated WCE dataset for training and evaluation of automatic classification …