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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
PeerJ
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/45299/ https://doi.org/10.7717/peerj-cs.1950 |
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