,

Joonil Hwang1,2, Jaehee Chun3,4, Seungryong Cho1,2

  • 1Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.

PubMed
概括

使用故意深度超拟学习 (IDOL) 的新型深度学习算法显著改善了用于乳腺癌放射治疗的形束计算断层扫描 (CBCT) 上的临床目标体积 (CTV) 分段,从而增强了个性化治疗.