Multiple abnormality classification in wireless capsule endoscopy images based on EfficientNet using attention mechanism

Deep transfer learning approaches for bleeding detection in endoscopy images

(2021) Andrea Caroppo et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Automated bleeding detection in wireless capsule endoscopy images based on color feature extraction from Gaussian mixture model superpixels

(2021) S. Rathnamala et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection

(2020) Abdul Majid et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Gastrointestinal diseases segmentation and classification based on duo-deep architectures

(2020) Mehshan Ahmed Khan et al.   PATTERN RECOGNITION LETTERS

Gastric Tract Infections Detection and Classification from Wireless Capsule Endoscopy using Computer Vision Techniques: A Review

(2020) Amna Liaqat et al.   Current Medical Imaging Reviews

Use of artificial intelligence for detection of gastric lesions by magnetically controlled capsule endoscopy

(2020) Ji Xia et al.   GASTROINTESTINAL ENDOSCOPY

Automatic detection of different types of small-bowel lesions on capsule endoscopy images using a newly developed deep convolutional neural network

(2020) Keita Otani et al.   ENDOSCOPY

Semi-supervised WCE image classification with adaptive aggregated attention

(2020) Xiaoqing Guo et al.   MEDICAL IMAGE ANALYSIS

Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation

(2020) Muhammad Owais et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images

(2019) Muhammad Sharif et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection

(2019) Muhammad Attique Khan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Current cancer situation in China: good or bad news from the 2018 Global Cancer Statistics?

(2019) Rui-Mei Feng et al.   Cancer Communications

Stomach Deformities Recognition Using Rank-Based Deep Features Selection

(2019) Muhammad Attique Khan et al.   JOURNAL OF MEDICAL SYSTEMS

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy

(2018) Romain Leenhardt et al.   GASTROINTESTINAL ENDOSCOPY

Comparison of Capsule Endoscopy and Magnetic Resonance Enterography for the Assessment of Small Bowel Lesions in Crohn’s Disease

(2018) Begoña González-Suárez et al.   INFLAMMATORY BOWEL DISEASES

Multi-scale completed local binary patterns for ulcer detection in wireless capsule endoscopy images

(2018) Meryem Souaidi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Computer-aided diagnosis system for colon abnormalities detection in wireless capsule endoscopy images

(2017) Said Charfi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Feature Selection and Classification of Ulcerated Lesions Using Statistical Analysis for WCE Images

(2017) Shipra Suman et al.   Applied Sciences-Basel

A brief introduction to weakly supervised learning

(2017) Zhi-Hua Zhou   National Science Review

Abnormal image detection in endoscopy videos using a filter bank and local binary patterns

(2014) Ruwan Nawarathna et al.   NEUROCOMPUTING

Computer-Aided Bleeding Detection in WCE Video

(2013) Yanan Fu et al.   IEEE Journal of Biomedical and Health Informatics

Detection of Small Bowel Polyps and Ulcers in Wireless Capsule Endoscopy Videos

(2011) Alexandros Karargyris et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING