Deep learning-based dose prediction for prostate cancer with empty bladder protocol: a framework for efficient and personalized radiotherapy planning.
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| Title: | Deep learning-based dose prediction for prostate cancer with empty bladder protocol: a framework for efficient and personalized radiotherapy planning. |
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| Authors: | Choi B; Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States., Shrestha DK; Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States., Attia A; Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States., Stish BJ; Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States., Leenstra J; Department of Radiation Oncology, Mayo Clinic, Northfield, MN, United States., Rwigema JC; Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States., Ma J; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States., Lee SU; Proton Therapy Center, National Cancer Center Korea, Goyang-si, Republic of Korea., Jeong JH; Proton Therapy Center, National Cancer Center Korea, Goyang-si, Republic of Korea., Kim J; Proton Therapy Center, National Cancer Center Korea, Goyang-si, Republic of Korea., Kim J; Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States., Beltran C; Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States., Park JC; Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States. |
| Source: | Frontiers in oncology [Front Oncol] 2025 Dec 17; Vol. 15, pp. 1690416. Date of Electronic Publication: 2025 Dec 17 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2025.1690416 |
