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Clinical-Deep Neural Network and Clinical-Radiomics Nomograms for Predicting the Intraoperative Massive Blood Loss of Pelvic and Sacral Tumors
BACKGROUND: Patients with pelvic and sacral tumors are prone to massive blood loss (MBL) during surgery, which may endanger their lives. PURPOSES: This study aimed to determine the feasibility of using deep neural network (DNN) and radiomics nomogram (RN) based on 3D computed tomography (CT) feature...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574215/ https://www.ncbi.nlm.nih.gov/pubmed/34760700 http://dx.doi.org/10.3389/fonc.2021.752672 |