Comments: Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis

Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis

Gastrointestinal (GI) diseases are prevalent medical conditions that require accurate and timely diagnosis for effective treatment. To address this, we developed the MultiFusion Convolutional Neural Network (MF-CNN), a deep learning framework that strategically integrates and adapts elements from si...

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Bibliographic Details
Main Authors:	Hossain, Tanzim, Shamrat, F.M. Javed Mehedi, Zhou, Xujuan, Mahmud, Imran, Mazumder, Md. Sakib Ali, Sharmin, Sharmin, Gururajan, Raj
Format:	Article
Published:	PeerJ 2024
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.um.edu.my/45299/ https://doi.org/10.7717/peerj-cs.1950
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Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis

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