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 …
Endoood: Uncertainty-aware out-of-distribution detection in capsule endoscopy diagnosis
Wireless capsule endoscopy (WCE) is a non-invasive diagnostic procedure that enables
visualization of the gastrointestinal (GI) tract. Deep learning-based methods have shown …
visualization of the gastrointestinal (GI) tract. Deep learning-based methods have shown …
Feature Pyramid Network Based Spatial Attention and Cross‐Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images
As an emerging technology that uses a pill‐sized camera to visualize images of the
digestive tract. Wireless capsule endoscopy (WCE) presents several advantages, since it is …
digestive tract. Wireless capsule endoscopy (WCE) presents several advantages, since it is …
Trustworthy Diagnostics With Out-of-Distribution Detection: A Novel Max-Consistency and Min-Similarity Guided Deep Ensembles for Uncertainty Estimation
X Zhang, C Wang, W Zhou, J Xu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The unknow fault diagnosis technology in industrial systems implies significant engineering
application value and opportunities. The difficulty stems from the fact that the unknown fault …
application value and opportunities. The difficulty stems from the fact that the unknown fault …
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
The integration of deep learning tools in gastrointestinal vision holds the potential for
significant advancements in diagnosis, treatment, and overall patient care. A major …
significant advancements in diagnosis, treatment, and overall patient care. A major …
Navigating the unknown: out-of-distribution detection for medical imaging
M Fuchs, AN Angelopoulos, M Paschali… - Trustworthy AI in …, 2025 - Elsevier
Trustworthy AI is critical for translating the success of AI into Medicine. The primary
requirement is that AI should know what it doesn't know, especially when confronted with …
requirement is that AI should know what it doesn't know, especially when confronted with …
TTA-OOD: Test-Time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision
Deep learning has significantly advanced the field of gastrointestinal vision, enhancing
disease diagnosis capabilities. One major challenge in automating diagnosis within …
disease diagnosis capabilities. One major challenge in automating diagnosis within …