PlutoNet: An efficient polyp segmentation network with modified partial decoder and decoder consistency training
Abstract Deep learning models are used to minimize the number of polyps that goes unnoticed by the experts and to accurately segment the detected polyps during interventions. Although state‐of‐the‐art models are proposed, it remains a challenge to define representations that are able to generalize w...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | Healthcare Technology Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/htl2.12105 |
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