| GALLO, Matej, Vojtěch KRAJŇANSKÝ, Rudolf NENUTIL, Petr HOLUB a Tomáš BRÁZDIL. Shedding light on the black box of a neural network used to detect prostate cancer in whole slide images by occlusion-based explainability. NEW BIOTECHNOLOGY. NETHERLANDS: ELSEVIER, 2023, roč. 78, December, s. 52-67. ISSN 1871-6784. Dostupné z: https://dx.doi.org/10.1016/j.nbt.2023.09.008. |
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@article{2326025,
author = {Gallo, Matej and Krajňanský, Vojtěch and Nenutil, Rudolf and Holub, Petr and Brázdil, Tomáš},
article_location = {NETHERLANDS},
article_number = {December},
doi = {http://dx.doi.org/10.1016/j.nbt.2023.09.008},
keywords = {Artificial intelligence; Digital histopathology; Explainable AI; Machine learning; Occlusion sensitivity analysis; Prostate cancer},
language = {eng},
issn = {1871-6784},
journal = {NEW BIOTECHNOLOGY},
title = {Shedding light on the black box of a neural network used to detect prostate cancer in whole slide images by occlusion-based explainability},
url = {https://www.sciencedirect.com/science/article/pii/S1871678423000511},
volume = {78},
year = {2023}
}
TY - JOUR
ID - 2326025
AU - Gallo, Matej - Krajňanský, Vojtěch - Nenutil, Rudolf - Holub, Petr - Brázdil, Tomáš
PY - 2023
TI - Shedding light on the black box of a neural network used to detect prostate cancer in whole slide images by occlusion-based explainability
JF - NEW BIOTECHNOLOGY
VL - 78
IS - December
SP - 52-67
EP - 52-67
PB - ELSEVIER
SN - 18716784
KW - Artificial intelligence
KW - Digital histopathology
KW - Explainable AI
KW - Machine learning
KW - Occlusion sensitivity analysis
KW - Prostate cancer
UR - https://www.sciencedirect.com/science/article/pii/S1871678423000511
N2 - • Saliency maps identified histomorphological features characterizing cancer. • VGG16 model utilized all the structures that are observable by the pathologist. • The method can identify standard patterns not used by the model. • The method can also identify new patterns not yet used by human pathologists.
ER -
GALLO, Matej, Vojtěch KRAJŇANSKÝ, Rudolf NENUTIL, Petr HOLUB a Tomáš BRÁZDIL. Shedding light on the black box of a neural network used to detect prostate cancer in whole slide images by occlusion-based explainability. \textit{NEW BIOTECHNOLOGY}. NETHERLANDS: ELSEVIER, 2023, roč.~78, December, s.~52-67. ISSN~1871-6784. Dostupné z: https://dx.doi.org/10.1016/j.nbt.2023.09.008.
|
