Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets

HM Rai, J Yoo, SA Moqurrab, S Dashkevych - Measurement, 2024 - Elsevier
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 …

Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers

HM Rai, J Yoo - Mathematics, 2023 - mdpi.com
Cancer remains a formidable global health challenge, claiming millions of lives annually.
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …

DCDS-net: deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases

S Asif, M Zhao, F Tang, Y Zhu - Biomedical Signal Processing and Control, 2024 - Elsevier
Gastrointestinal (GI) diseases are the most common in the human digestive system and has
a significantly higher mortality rate. Accurate evaluation of endoscopic images plays an …

GIT-Net: an ensemble deep learning-based GI tract classification of endoscopic images

H Gunasekaran, K Ramalakshmi, DK Swaminathan… - Bioengineering, 2023 - mdpi.com
This paper presents an ensemble of pre-trained models for the accurate classification of
endoscopic images associated with Gastrointestinal (GI) diseases and illnesses. In this …

Gastrointestinal diseases recognition: a framework of deep neural network and improved moth-crow optimization with dcca fusion

MA Khan, K Muhammad, SH Wang, S Alsubai… - 2022 - figshare.le.ac.uk
Wireless capsule endoscopy (WCE), the most efficient technology, is used in the endoscopic
department for the examination of gastrointestinal (GI) diseases such as a poly and ulcer …

GestroNet: a framework of saliency estimation and optimal deep learning features based gastrointestinal diseases detection and classification

MA Khan, N Sahar, WZ Khan, M Alhaisoni, U Tariq… - Diagnostics, 2022 - mdpi.com
In the last few years, artificial intelligence has shown a lot of promise in the medical domain
for the diagnosis and classification of human infections. Several computerized techniques …

Deep feature fusion and optimization-based approach for stomach disease classification

F Mohammad, M Al-Razgan - Sensors, 2022 - mdpi.com
Cancer is the deadliest disease among all the diseases and the main cause of human
mortality. Several types of cancer sicken the human body and affect organs. Among all the …

Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images

H Malik, A Naeem, A Sadeghi-Niaraki… - Complex & Intelligent …, 2024 - Springer
Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal
(GI) tract to be performed without any discomfort. Despite this, several characteristics …

Automated Laryngeal cancer detection and classification using dwarf mongoose optimization algorithm with deep learning

N Mohamed, RL Almutairi, S Abdelrahim, R Alharbi… - Cancers, 2023 - mdpi.com
Simple Summary Laryngeal cancer poses a major global health burden, with late-stage
diagnoses contributing to decreased survival rates. Recently, deep learning and deep …

A hybrid convolutional neural network with meta feature learning for abnormality detection in wireless capsule endoscopy images

S Jain, A Seal, A Ojha - arXiv preprint arXiv:2207.09769, 2022 - arxiv.org
Wireless Capsule Endoscopy is one of the most advanced non-invasive methods for the
examination of gastrointestinal tracts. An intelligent computer-aided diagnostic system for …