Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
[HTML][HTML] Application of convolutional neural networks for automated ulcer detection in wireless capsule endoscopy images
Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging
task. Typically, these images suffer from low contrast, complex background, variations in …
task. Typically, these images suffer from low contrast, complex background, variations in …
Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker
A computer-aided detection (CAD) tool for locating and detecting polyps can help reduce the
chance of missing polyps during colonoscopy. Nevertheless, state-of-the-art algorithms were …
chance of missing polyps during colonoscopy. Nevertheless, state-of-the-art algorithms were …
Fusion of color histogram and LBP-based features for texture image retrieval and classification
P Liu, JM Guo, K Chamnongthai, H Prasetyo - Information Sciences, 2017 - Elsevier
Abstract The Local Binary Pattern (LBP) operator and its variants play an important role as
the image feature extractor in the textural image retrieval and classification. The LBP-based …
the image feature extractor in the textural image retrieval and classification. The LBP-based …
Dilated CNN for abnormality detection in wireless capsule endoscopy images
N Goel, S Kaur, D Gunjan, SJ Mahapatra - Soft Computing, 2022 - Springer
Wireless capsule endoscopy is a non-invasive and painless procedure to examine the
gastrointestinal tract of human body, and an experienced clinician takes 2–3 hours for …
gastrointestinal tract of human body, and an experienced clinician takes 2–3 hours for …
Multi-scale context-guided deep network for automated lesion segmentation with endoscopy images of gastrointestinal tract
Accurate lesion segmentation based on endoscopy images is a fundamental task for the
automated diagnosis of gastrointestinal tract (GI Tract) diseases. Previous studies usually …
automated diagnosis of gastrointestinal tract (GI Tract) diseases. Previous studies usually …
Investigating the significance of color space for abnormality detection in wireless capsule endoscopy images
N Goel, S Kaur, D Gunjan, SJ Mahapatra - Biomedical Signal Processing …, 2022 - Elsevier
Abstract Wireless Capsule Endoscopy is a non-invasive and painless procedure to examine
the gastrointestinal tract of human body. An experienced clinician takes 2-3 h for a complete …
the gastrointestinal tract of human body. An experienced clinician takes 2-3 h for a complete …
A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging
Wireless capsule endoscopy (WCE) is a process in which a patient swallows a camera-
embedded pill-shaped device that passes through the gastrointestinal (GI) tract, captures …
embedded pill-shaped device that passes through the gastrointestinal (GI) tract, captures …
Generic feature learning for wireless capsule endoscopy analysis
The interpretation and analysis of wireless capsule endoscopy (WCE) recordings is a
complex task which requires sophisticated computer aided decision (CAD) systems to help …
complex task which requires sophisticated computer aided decision (CAD) systems to help …