Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation
Abstract Accurate segmentation of multiple organs in the head, neck, chest, and abdomen from medical images is an essential step in computer-aided diagnosis, surgical navigation, and radiation therapy. In the past few years, with a data-driven feature extraction approach and end-to-end training, aut...
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| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BMC
2024-06-01
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| Seri Bilgileri: | BioMedical Engineering OnLine |
| Konular: | |
| Online Erişim: | https://doi.org/10.1186/s12938-024-01238-8 |
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