体素
均方误差
放射治疗计划
剂量学
核医学
图像质量
放射治疗
计算机科学
深度学习
标准差
数学
人工智能
医学
模式识别(心理学)
统计
放射科
图像(数学)
作者
Lance C. Moore,Fatemeh Nematollahi,Lingyi Li,Sandra M. Meyers,Kelly Kisling
摘要
The quality of treatment plans for breast cancer can vary greatly. This variation could be reduced by using dose prediction to automate treatment planning. Our work investigates novel methods for training deep-learning models that are capable of producing high-quality dose predictions for breast cancer treatment planning.
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