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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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第一作者： Tanzim,Hossain

第一单位： Department of Software Engineering, Daffodil International University, Dhaka, Bangladesh.

作者： Tanzim,Hossain ^[1] ; F M Javed Mehedi,Shamrat ^[2] ; Xujuan,Zhou ^[3] ; Imran,Mahmud ^[1] ; Md Sakib Ali,Mazumder ^[1] ; Sharmin,Sharmin ^[2] ; Raj,Gururajan ^[3]

作者单位： Department of Software Engineering, Daffodil International University, Dhaka, Bangladesh. ^[1] Department of Computer System and Technology, University of Malaya, Kuala Lumpur, Malaysia. ^[2] School of Business, University of Southern Queensland, Springfield, Australia. ^[3]

关键词 Adaptive histogram equalization (AHE)Alpha dropouts (αDO)Auxiliary fusing layers (AuxFL)Deep learning Endoscopic images Feature extraction pipeline Fusion residual block (FuRB)Gastrointestinal (GI) diseases Image enhancement Multi-Fusion Convolutional Neural Network (MF-CNN)

DOI 10.7717/peerj-cs.1950

PMID 38660192

发布时间 2024-04-26

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PeerJ. Computer science

2024年10卷

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PeerJ. Computer science

2024年10卷

e1950页

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

PeerJ. Computer science

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