Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer
Objective: This study aimed to develop a nomogram combining CT-based handcrafted radiomics and deep learning (DL) features to preoperatively predict muscle invasion in bladder cancer (BCa) with multi-center validation. Methods: In this retrospective study, 323 patients underwent radical cystectomy w...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2024-01-01
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| Series: | Heliyon |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S2405844024009095 |
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