Lightweight detection and segmentation of crayfish parts using an improved YOLOv11n segmentation model
Abstract Crayfish sub-part processing requires high precision and efficiency in complex environments; however, current methods often fail to effectively handle small anatomical structures and are unsuitable for edge-device deployment. We propose YOLOv11nDHBC, a lightweight detection and segmentation...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Nature Portfolio
2025-07-01
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| Rangatū: | Scientific Reports |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1038/s41598-025-11201-9 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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