Patch-and-amplify Capsule Network for the recognition of gastrointestinal diseases
Deep learning (DL) algorithms require massive amounts of data in diverse variations to attain close to human recognition accuracy. This enables them to perform well on unseen in-distribution viewpoints. However, critical areas such as health face a challenge in generating large data. This is mainly...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2024-09-01
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| Collection: | Scientific African |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2468227624002229 |
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