Contouring intraprostatic lesions is a prerequisite for dose‐escalating these lesions in radiotherapy to improve the local cancer control. In this study, a deep learning‐based approach was developed for automatic intraprostatic lesion segmentation in multiparametric magnetic resonance imaging (mpMRI) images contributing to clinical practice.

中文翻译：

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提出的多分支UNet在多参数磁共振图像中自动进行前列腺内病变分割

轮廓化前列腺内病变是在放射治疗中逐步增加这些病变的剂量以改善局部癌症控制的先决条件。在这项研究中，开发了一种基于深度学习的方法，用于在有助于临床实践的多参数磁共振成像（mpMRI）图像中自动进行前列腺内病变分割。