Kidney Segmentation of Histopathological Images with Edge-Aware U-Net to Support Medical Diagnosis and Treatment Planning
Accurate segmentation of renal anatomical structures is essential for informed clinical decision-making in nephropathology, supporting precise diagnosis, treatment planning, and longitudinal monitoring of kidney diseases. In this work, we propose an Edge-Aware U-Net architecture with Boundary-Sensit...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2026-03-01
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| Rangatū: | Bioengineering |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2306-5354/13/4/376 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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