Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model adaptation to Different Treatment Planning Practices

PURPOSE: This work aims to study the generalizability of a pre-developed deep learning (DL) dose prediction model for volumetric modulated arc therapy (VMAT) for prostate cancer and to adapt the model, via transfer learning with minimal input data, to three different internal treatment planning styl...

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Vydáno v:Radiother Oncol
Hlavní autoři: Kandalan, Roya Norouzi, Nguyen, Dan, Rezaeian, Nima Hassan, Barragán-Montero, Ana M, Breedveld, Sebastiaan, Namuduri, Kamesh, Jiang, Steve, Lin, Mu-Han
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7908143/
https://ncbi.nlm.nih.gov/pubmed/33098927
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.radonc.2020.10.027
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