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Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images by Imran, Abdullah-Al-Zubaer; Huang, Chao; Tang, Hui; Fan, Wei; Cheung, Kenneth M. C.; To, Michael; Qian, Zhen; Terzopoulos, Demetri is a scholarly article available to read on EtoBox.

What is Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images about?

Scoliosis is a congenital disease that causes lateral curvature in the spine. Its assessment relies on the identification and localization of vertebrae in spinal X-ray images, conventionally via tedious and time-consuming manual radiographic procedures that are prone to subjectivity and observational variability. Reliability can be improved through the automatic detection and localization of spinal landmarks. To guide a CNN in the learning of spinal shape while detecting landmarks in X-ray images, we propose a novel loss based on a bipartite distance (BPD) measure, and show that it consistently improves landmark detection performance.

Author

Imran, Abdullah-Al-Zubaer; Huang, Chao; Tang, Hui; Fan, Wei; Cheung, Kenneth M. C.; To, Michael; Qian, Zhen; Terzopoulos, Demetri

Published

2020

Language

EN