[HTML][HTML] Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities

H Wahab, I Mehmood, H Ugail, AK Sangaiah… - Future Generation …, 2023 - Elsevier
Video capsule endoscopy (VCE) is a revolutionary technology for the early diagnosis of
gastric disorders. However, owing to the high redundancy and subtle manifestation of …

A systematic review on application of deep learning in digestive system image processing

H Zhuang, J Zhang, F Liao - The Visual Computer, 2023 - Springer
With the advent of the big data era, the application of artificial intelligence represented by
deep learning in medicine has become a hot topic. In gastroenterology, deep learning has …

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

S Ali, N Ghatwary, D Jha, E Isik-Polat, G Polat… - Scientific Reports, 2024 - nature.com
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in
their size, appearance, and location makes the detection of polyps challenging. Moreover …

PCCT: Progressive class-center triplet loss for imbalanced medical image classification

K Chen, W Lei, S Zhao, WS Zheng… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Imbalanced training data in medical image diagnosis is a significant challenge for
diagnosing rare diseases. For this purpose, we propose a novel two-stage Progressive …

[HTML][HTML] Time-based self-supervised learning for Wireless Capsule Endoscopy

G Pascual, P Laiz, A García, H Wenzek, J Vitrià… - Computers in Biology …, 2022 - Elsevier
State-of-the-art machine learning models, and especially deep learning ones, are
significantly data-hungry; they require vast amounts of manually labeled samples to function …

Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy

P Gilabert, J Vitrià, P Laiz, C Malagelada… - Frontiers in …, 2022 - frontiersin.org
Colon Capsule Endoscopy (CCE) is a minimally invasive procedure which is increasingly
being used as an alternative to conventional colonoscopy. Videos recorded by the capsule …

Artificial intelligence for the detection of polyps or cancer with colon capsule endoscopy

AR Robertson, S Segui, H Wenzek… - Therapeutic …, 2021 - journals.sagepub.com
Colorectal cancer is common and can be devastating, with long-term survival rates vastly
improved by early diagnosis. Colon capsule endoscopy (CCE) is increasingly recognised as …

Scope of artificial intelligence in gastrointestinal oncology

H Goyal, SAA Sherazi, R Mann, Z Gandhi, A Perisetti… - Cancers, 2021 - mdpi.com
Simple Summary Gastrointestinal cancers cause over 2.8 million deaths annually
worldwide. Currently, the diagnosis of various gastrointestinal cancer mainly relies on …

A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis system

Q Jiang, Y Yu, Y Ren, S Li, X He - Medical & Biological Engineering & …, 2024 - Springer
Recent advancements in deep learning have significantly improved the intelligent
classification of gastrointestinal (GI) diseases, particularly in aiding clinical diagnosis. This …

[HTML][HTML] Self-supervised out-of-distribution detection in wireless capsule endoscopy images

A Quindós, P Laiz, J Vitrià, S Seguí - Artificial Intelligence in Medicine, 2023 - Elsevier
While deep learning has displayed excellent performance in a broad spectrum of application
areas, neural networks still struggle to recognize what they have not seen, ie, out-of …