Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation
- DOI
- 10.1109/access.2023.3311134
- Published
- 2023
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2023.3311134,
title = {Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation},
author = {Srividya Tirunellai Rajamani and Kumar Rajamani and Ashwin Venkateshvaran and Andreas Triantafyllopoulos and Alexander Kathan and Björn W. Schuller},
year = {2023},
journal = {IEEE Access},
doi = {10.1109/access.2023.3311134},
url = {https://doi.org/10.1109/access.2023.3311134}
}RIS
TY - JOUR TI - Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation AU - Srividya Tirunellai Rajamani AU - Kumar Rajamani AU - Ashwin Venkateshvaran AU - Andreas Triantafyllopoulos AU - Alexander Kathan AU - Björn W. Schuller PY - 2023 JO - IEEE Access DO - 10.1109/access.2023.3311134 UR - https://doi.org/10.1109/access.2023.3311134 ER -
APA
Rajamani, S. T., Rajamani, K., Venkateshvaran, A., Triantafyllopoulos, A., Kathan, A., & Schuller, B. W. (2023). Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation. IEEE Access. https://doi.org/10.1109/access.2023.3311134
Source records
- crossref · retrieved 2026-11-10T10:40:07.751Z