A clustering-based approach to address correlated features in predicting genitourinary toxicity from MRI-guided prostate SBRT.
Saved in:
| Title: | A clustering-based approach to address correlated features in predicting genitourinary toxicity from MRI-guided prostate SBRT. |
|---|---|
| Authors: | Rezapoor P; Department of Electronics and Nanoengineering, Aalto University, Espoo, Finland., Pham J; Department of Radiation Oncology, University of California, Los Angeles, USA., Neilsen B; Department of Radiation Oncology, University of California, Los Angeles, USA., Liu H; Department of Radiation Oncology, University of California, Los Angeles, USA., Cao M; Department of Radiation Oncology, University of California, San Francisco, USA., Yang Y; Department of Radiation Oncology, Shanghai Ruijin Hospital, Shanghai, China., Sheng K; Department of Radiation Oncology, University of California, San Francisco, USA., Ma TM; Department of Radiation Oncology, University of Washington, Seattle, USA., Lamb J; Department of Radiation Oncology, University of California, Los Angeles, USA., Steinberg M; Department of Radiation Oncology, University of California, Los Angeles, USA., Kishan AU; Department of Radiation Oncology, University of California, Los Angeles, USA., Taylor Z; Department of Electronics and Nanoengineering, Aalto University, Espoo, Finland., Ruan D; Department of Radiation Oncology, University of California, Los Angeles, USA. |
| Source: | Medical physics [Med Phys] 2025 Jun; Vol. 52 (6), pp. 5104-5114. Date of Electronic Publication: 2025 Apr 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
