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Explainability and controllability of patient‐specific deep learning with attention‐based augmentation for markerless image‐guided radiotherapy
BACKGROUND: We reported the concept of patient‐specific deep learning (DL) for real‐time markerless tumor segmentation in image‐guided radiotherapy (IGRT). The method was aimed to control the attention of convolutional neural networks (CNNs) by artificial differences in co‐occurrence probability (Co...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100026/ https://www.ncbi.nlm.nih.gov/pubmed/36354286 http://dx.doi.org/10.1002/mp.16095 |