A new approach for gastrointestinal tract findings detection and classification: Deep learning-based hybrid stacking ensemble models
Endoscopic procedures for diagnosing gastrointestinal tract findings depend on specialist
experience and inter-observer variability. This variability can cause minor lesions to be …
experience and inter-observer variability. This variability can cause minor lesions to be …
Modified salp swarm algorithm with deep learning based gastrointestinal tract disease classification on endoscopic images
Nowadays, the analysis of gastrointestinal (GI) tract disease utilzing endoscopic image
classification becomes an active research activity from the biomedical sector. The latest …
classification becomes an active research activity from the biomedical sector. The latest …
Vision transformer for efficient chest X-ray and gastrointestinal image classification
Medical image analysis is a hot research topic because of its usefulness in different clinical
applications, such as early disease diagnosis and treatment. Convolutional neural networks …
applications, such as early disease diagnosis and treatment. Convolutional neural networks …
TTDCapsNet: Tri Texton-Dense Capsule Network for complex and medical image recognition
Convolutional Neural Networks (CNNs) are frequently used algorithms because of their
propensity to learn relevant and hierarchical features through their feature extraction …
propensity to learn relevant and hierarchical features through their feature extraction …
[HTML][HTML] Patch-and-Amplify Capsule Network for the Recognition of Gastrointestinal Diseases
Deep learning (DL) algorithms require massive amounts of data in diverse variations to
attain close to human recognition accuracy. This enables them to perform well on unseen in …
attain close to human recognition accuracy. This enables them to perform well on unseen in …
Endoscopy classification model using swin transformer and saliency map
Endoscopy is a valuable tool for the early diagnosis of colon cancer. However, it requires the
expertise of endoscopists and is a time-consuming process. In this work, we propose a new …
expertise of endoscopists and is a time-consuming process. In this work, we propose a new …
Analyzing the performances of squash functions in capsnets on complex images
Abstract Classical Convolutional Neural Networks (CNNs) have been the benchmark for
most object classification and face recognition tasks despite their major shortcomings …
most object classification and face recognition tasks despite their major shortcomings …
Multiclass gastrointestinal diseases classification based on hybrid features and duo feature selection
J Sharmila Joseph, A Vidyarthi - Journal of Biomedical …, 2023 - ingentaconnect.com
Gastrointestinal Tract (GIT) infections are quite common nowadays. If these abnormalities
are left untreated at early stages, they may develop into stomach cancers. Wireless Capsule …
are left untreated at early stages, they may develop into stomach cancers. Wireless Capsule …