Automated Identification of Failure Cases in Organ at Risk Segmentation Using Distance Metrics: A Study on CT Data

no code implementations • 21 Aug 2023 • Amin Honarmandi Shandiz, Attila Rádics, Rajesh Tamada, Makk Árpád, Karolina Glowacka, Lehel Ferenczi, Sandeep Dutta, Michael Fanariotis

This thresholding approach could be extended to other organs, leading to faster identification of failure cases and thereby improving the quality of radiation therapy planning.