@inproceedings{aa0bdcbe6dd24bd492195a0198691413,
title = "Limitations of Automated Segmentation Tools for Breast Tissue in Young Women Treated with Radiotherapy to the Chest",
abstract = "The performance of commercially available segmentation tools (deep learning and atlas-based) were assessed for breast contouring of young lymphoma patients on CT. Dice similarity coefficient, mean distance to agreement and Hausdorff distance were used to analyse performance. Deep learning segmentation performed better on more patients (6/10) but atlas-based segmentation performed best on 2/10. The variation of breast densities and arm positions likely affects auto-contouring performance in young lymphoma patients, as atlas libraries struggle to encompass the wide variation, and deep learning training data is typically of older breast cancer patients.",
keywords = "atlas-based segmentation, deep-learning segmentation, lymphoma, radiotherapy, segmentation",
author = "H. Chamberlin and E. Henderson and R. Cowan and C. Anandadas and C. Hague and F. Wilson and J. Radford and S. Howell and S. Astley and M. Aznar and Osorio, {E. Vasquez}",
note = "Funding Information: This work was funded by the Medical Research Council, the Engineering and Physical Sciences Research Council [EP/T028017/1], the NIHR Manchester Biomedical Research Centre and Cancer Research UK RadNet Manchester, UK [C1994/A28701]. Funding Information: This work was funded by the Medical Research Council, the Engineering and Physical Sciences Research Council [EP/T028017/1], the NIHR Manchester Biomedical Research Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 ; Conference date: 18-04-2023 Through 21-04-2023",
year = "2023",
doi = "10.1109/ISBI53787.2023.10230795",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society ",
booktitle = "2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023",
address = "United States",
}
