Toward explainable deep learning in healthcare through transition matrix and user-friendly features

Oleksander Barmak, Iurii Krak, Sergiy Yakovlev, Eduard Manziuk, Pavlo Radiuk, Vladislav Kuznetsov

Open source

DOI: 10.3389/frai.2024.1482141
Published: 2024-11-25
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2024.1482141,
  title = {Toward explainable deep learning in healthcare through transition matrix and user-friendly features},
  author = {Oleksander Barmak and Iurii Krak and Sergiy Yakovlev and Eduard Manziuk and Pavlo Radiuk and Vladislav Kuznetsov},
  year = {2024},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2024.1482141},
  url = {https://doi.org/10.3389/frai.2024.1482141}
}

RIS

TY  - JOUR
TI  - Toward explainable deep learning in healthcare through transition matrix and user-friendly features
AU  - Oleksander Barmak
AU  - Iurii Krak
AU  - Sergiy Yakovlev
AU  - Eduard Manziuk
AU  - Pavlo Radiuk
AU  - Vladislav Kuznetsov
PY  - 2024
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2024.1482141
UR  - https://doi.org/10.3389/frai.2024.1482141
ER  -

APA

Barmak, O., Krak, I., Yakovlev, S., Manziuk, E., Radiuk, P., & Kuznetsov, V. (2024). Toward explainable deep learning in healthcare through transition matrix and user-friendly features. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2024.1482141

Source records

crossref · retrieved 2026-09-27T07:50:11.423Z