本文介绍了CVPR 2020中关于CT扫描管状结构分割的研究，提出了一种深度距离变换算法，该算法能学习骨架和截面半径，以提高分割性能。工作重点在于保证临床应用中的高敏感性和合理特异性。
2021Apr-CVPR医学论文学习笔记
1.Deep Distance Transform for Tubular Structure Segmentation in CT Scans
The title：
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. link
CT扫描中管状结构分割的深度变换DDL
Sentences：
Various methods have been proposed to improve the performance of tubular structure segmentation by considering the geometric characteristics, and a non-exhaustive overview is given here.
各种各样的方法已经被提出，通过考虑几何特征来提高管状结构分割的性能，在这里给出不详尽的概述。
Our work fully leverages the geometric information of a tubular structure, proposing a distance transform algorithm to implicitly learn the skeleton and cross-sectional radius,
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