Accuracy Improvement Method Based on Characteristic Database Classification for IMRT Dose Prediction in Cervical Cancer: Scientifically Training Data Selection

PURPOSE: Consistent training and testing datasets can lead to good performance for deep learning (DL) models. However, a large high-quality training dataset for unusual clinical scenarios is usually not easy to collect. The work aims to find optimal training data collection strategies for DL-based d...

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Detalles Bibliográficos
Autores principales: Peng, Yiru, Liu, Yaoying, Chen, Zhaocai, Zhang, Gaolong, Ma, Changsheng, Xu, Shouping, Yin, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927290/
https://www.ncbi.nlm.nih.gov/pubmed/35311133
http://dx.doi.org/10.3389/fonc.2022.808580

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927290/
https://www.ncbi.nlm.nih.gov/pubmed/35311133
http://dx.doi.org/10.3389/fonc.2022.808580

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