GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images
Convolutional Neural Networks (CNNs) have received substantial attention as a highly effective tool for analyzing medical images, notably in interpreting endoscopic images, due to their capacity to provide results equivalent to or exceeding those of medical specialists. This capability is particular...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2024-08-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2024300 |
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