Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images

• URL: http://arxiv.org/abs/2005.14330v1
• Date: Thu, 28 May 2020 22:34:24 GMT
• Title: Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images
• Authors: Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Kenneth M.C. Cheung, Michael To, Zhen Qian, Demetri Terzopoulos
• Abstract summary: Scoliosis is a congenital disease that causes lateral curvature in the spine. Reliability can be improved through the automatic detection and localization of spinal landmarks. We propose a novel loss based on a bipartite distance (BPD) measure, and show that it consistently improves landmark detection performance.
• Score: 17.8260780895433
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: 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.

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