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Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
[HTML][HTML] Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
The rising prevalence of gastrointestinal (GI) tract disorders worldwide highlights the urgent
need for precise diagnosis, as these diseases greatly affect human life and contribute to …
need for precise diagnosis, as these diseases greatly affect human life and contribute to …
GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images
Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and
have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare …
have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare …
[HTML][HTML] Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers
Cancer remains a formidable global health challenge, claiming millions of lives annually.
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …
[HTML][HTML] Gastrovrg: Enhancing early screening in gastrointestinal health via advanced transfer features
The accurate classification of endoscopic images is a challenging yet critical task in medical
diagnostics, which directly affects the treatment and management of Gastrointestinal …
diagnostics, which directly affects the treatment and management of Gastrointestinal …
[HTML][HTML] Localization and classification of gastrointestinal tract disorders using explainable AI from endoscopic images
Globally, gastrointestinal (GI) tract diseases are on the rise. If left untreated, people may die
from these diseases. Early discovery and categorization of these diseases can reduce the …
from these diseases. Early discovery and categorization of these diseases can reduce the …
Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images
Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal
(GI) tract to be performed without any discomfort. Despite this, several characteristics …
(GI) tract to be performed without any discomfort. Despite this, several characteristics …
A convolutional neural network with meta-feature learning for wireless capsule endoscopy image classification
Abstract Purpose Wireless Capsule Endoscopy is a widely used method for gastrointestinal
tract inspection. Automatic gastrointestinal abnormality detection systems face a key issue of …
tract inspection. Automatic gastrointestinal abnormality detection systems face a key issue of …
Explainable AI for gastrointestinal disease diagnosis in telesurgery Healthcare 4.0
The escalating prevalence of gastrointestinal disorders, spanning a spectrum from polyps to
tumors, underscores the imperative for advanced diagnostic and interventional …
tumors, underscores the imperative for advanced diagnostic and interventional …
[HTML][HTML] Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images
This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to
detect various gastrointestinal diseases using a new ResNet50*-based deep feature …
detect various gastrointestinal diseases using a new ResNet50*-based deep feature …