Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model
Abstract Objective This study aimed to develop and assess an advanced Attention-Based Residual U-Net (ResUNet) model for accurately segmenting different types of brain hemorrhages from CT images. The goal was to overcome the limitations of manual segmentation and current automated methods regarding...
Kaydedildi:
| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BMC
2025-07-01
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| Seri Bilgileri: | BMC Medical Informatics and Decision Making |
| Konular: | |
| Online Erişim: | https://doi.org/10.1186/s12911-025-03131-3 |
| Etiketler: |
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