Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation.

Karimi D, Gholipour A

DOI: 10.1109/tai.2022.3159510
Published: 2023 Apr
Container: IEEE transactions on artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/tai.2022.3159510,
  title = {Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation.},
  author = {Karimi D and Gholipour A},
  year = {2023},
  journal = {IEEE transactions on artificial intelligence},
  doi = {10.1109/tai.2022.3159510},
  url = {https://doi.org/10.1109/tai.2022.3159510}
}

RIS

TY  - JOUR
TI  - Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation.
AU  - Karimi D
AU  - Gholipour A
PY  - 2023
JO  - IEEE transactions on artificial intelligence
DO  - 10.1109/tai.2022.3159510
UR  - https://doi.org/10.1109/tai.2022.3159510
ER  -

APA

D, K., & A, G. (2023). Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation.. IEEE transactions on artificial intelligence. https://doi.org/10.1109/tai.2022.3159510

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pubmed · retrieved 2026-09-26T04:26:11.740Z