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BRR-Net: A tandem architectural CNN-RNN for automatic body region localization in CT images.
Medical Physics ( IF 3.8 ) Pub Date : 2020-08-06 , DOI: 10.1002/mp.14439
Vibhu Agrawal 1 , Jayaram Udupa 1 , Yubing Tong 1 , Drew Torigian 1
Affiliation  

Automatic identification of consistently defined body regions in medical images is vital in many applications. In this paper, we describe a method to automatically demarcate the superior and inferior boundaries for neck, thorax, abdomen, and pelvis body regions in computed tomography (CT) images.

中文翻译:

BRR-Net:一种串联结构的CNN-RNN,用于在CT图像中自动进行身体区域定位。

在许多应用中,自动识别医学图像中一致定义的身体区域至关重要。在本文中,我们描述了一种在计算机断层扫描(CT)图像中自动划定颈部,胸部,腹部和骨盆身体区域的上,下边界的方法。
更新日期:2020-08-06
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