Endoscopy video summarization based on unsupervised learning and feature discrimination

MMB Ismail, O Bchir, AZ Emam - 2013 Visual Communications …, 2013 - ieeexplore.ieee.org
We propose a novel endoscopy video summarization approach based on unsupervised
learning and feature discrimination. The proposed learning approach partitions the …

Graph convolutional neural network for weakly supervised abnormality localization in long capsule endoscopy videos

S Adewole, P Fernandes, J Jablonski… - … Conference on Big …, 2021 - ieeexplore.ieee.org
Temporal abnormality localization in long Wireless Capsule Endoscopy (WCE) videos is an
important problem. The cost of obtaining frame level label for long WCE videos is prohibitive …

Adaptive features extraction for Capsule Endoscopy (CE) video summarization

AZ Emam, YA Ali, MMB Ismail - International Conference on …, 2015 - ieeexplore.ieee.org
Capsule Endoscopy (CE) is considered an established tool for the exploration and
investigation of the small intestine. There are a large number of different capsules which …

Lesion2Vec: Deep meta learning for few-shot lesion recognition in capsule endoscopy video

S Adewole, P Fernandes, J Jablonski… - Proceedings of the …, 2022 - Springer
Effective and rapid detection of lesions in the Gastrointestinal (GI) tract plays a critical role in
how fast gastroenterologist can respond to life-threatening diseases. Capsule Endoscopy …

Lesion2Vec: Deep metric learning for few-shot multiple lesions recognition in wireless capsule endoscopy video

S Adewole, P Fernandez, M Yeghyayan… - arXiv preprint arXiv …, 2021 - arxiv.org
Effective and rapid detection of lesions in the Gastrointestinal tract is critical to
gastroenterologist's response to some life-threatening diseases. Wireless Capsule …

Empirical comparison of visual descriptors for multiple bleeding spots recognition in wireless capsule endoscopy video

S Alotaibi, S Qasim, O Bchir, MM Ben Ismail - Computer Analysis of Images …, 2013 - Springer
Abstract Wireless Capsule Endoscopy (WCE) is the latest technology able to screen
intestinal anomalies at early stage. Although its convenience to the patient and its …

Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos

S Adewole, P Fernandes, J Jablonski… - arXiv preprint arXiv …, 2021 - arxiv.org
Temporal activity localization in long videos is an important problem. The cost of obtaining
frame level label for long Wireless Capsule Endoscopy (WCE) videos is prohibitive. In this …

[PDF][PDF] Lesion2vec: Deep metric learning for few shots multiple abnormality recognition in wireless capsule endoscopy video

S Adewole, P Fernandez, M Yeghyayan… - … Computer Vision and …, 2021 - researchgate.net
Effective and rapid detection of lesions in the Gastrointestinal tract is critical to how promptly
gastroenterologist can respond to some life-threatening diseases. Wireless Capsule …

Endoscopy video summarisation using novel relational motion histogram descriptor and semi-supervised clustering

MM Ben Ismail, O Bchir - Journal of Experimental & Theoretical …, 2016 - Taylor & Francis
In this paper, we propose a novel system for capsule endoscopy (CE) summarisation that
has two main components. The first component consists of the Semi-Supervised Clustering …

A proposal based on color descriptors and local binary patterns histogram as support tool in presumptive diagnosis of hiatus hernia

L Serpa-Andrade, V Robles-Bykbaev… - … Autumn Meeting on …, 2014 - ieeexplore.ieee.org
According to the World Health Organization (WHO), as of 2012 esophageal cancer is the
eighth-most common cancer globally with 456,000 new cases during the year. One of the …