Machine-learning with region-level radiomic and dosimetric features for predicting radiotherapy-induced rectal toxicities in prostate cancer patients

Zhuolin Yang (Lead / Corresponding author), David J. Noble, Leila Shelley, Thomas Berger, Raj Jena, Duncan B. McLaren, Neil G. Burnet, William H. Nailon

Research output: Contribution to journalArticlepeer-review

18 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Machine-learning with region-level radiomic and dosimetric features for predicting radiotherapy-induced rectal toxicities in prostate cancer patients'. Together they form a unique fingerprint.

Medicine & Life Sciences