An Efficient Optimal CapsNet Model-Based Computer-Aided Diagnosis for Gastrointestinal Cancer Classification

An Efficient Optimal CapsNet Model-Based Computer-Aided Diagnosis for Gastrointestinal Cancer Classification

Gastrointestinal or gastric cancer (GC) classification is a serious field of medical research and healthcare technology, where innovative machine learning (ML) and deep learning (DL) models are employed to categorize and analyze many kinds of GCs like pancreatic, gastric, or colorectal cancer. These...

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Main Authors: Fahdah A Almarshad, Prasanalakshmi Balaji, Liyakathunisa Syed, Eman Aljohani, Santhi Muttipoll Dharmarajlu, Thavavel Vaiyapuri, Nourah Ali AlAseem
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Gastric cancer
hyperparameter tuning
CapsNet
computer-assisted diagnosis
deep learning
feature extraction
Online Access:https://ieeexplore.ieee.org/document/10634551/
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