Bayesian delineation framework of clinical target volumes for prostate cancer radiotherapy using an anatomical-features-based machine learning technique

K. Ninomiya, H. Arimura, M. Sasahara, T. Hirose, S. Ohga, Y. Umezu, H. Honda, T. Sasaki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fingerprint

Dive into the research topics of 'Bayesian delineation framework of clinical target volumes for prostate cancer radiotherapy using an anatomical-features-based machine learning technique'. Together they form a unique fingerprint.

Medicine and Dentistry

Veterinary Science and Veterinary Medicine