Morphometry-based detection of deep learning faults in glomerular segmentation.
- DOI
- 10.1016/j.cmpb.2026.109692
- Published
- 2026 Oct 23
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2026.109692,
title = {Morphometry-based detection of deep learning faults in glomerular segmentation.},
author = {Weishaupt H and Besusparis J and Mola N and Sund S and Leh S},
year = {2026},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2026.109692},
url = {https://doi.org/10.1016/j.cmpb.2026.109692}
}RIS
TY - JOUR TI - Morphometry-based detection of deep learning faults in glomerular segmentation. AU - Weishaupt H AU - Besusparis J AU - Mola N AU - Sund S AU - Leh S PY - 2026 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2026.109692 UR - https://doi.org/10.1016/j.cmpb.2026.109692 ER -
APA
H, W., J, B., N, M., S, S., & S, L. (2026). Morphometry-based detection of deep learning faults in glomerular segmentation.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2026.109692
Source records
- pubmed · retrieved 2026-11-10T08:01:46.586Z