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1 Ergebnisse
1
LISA : Enhance the explainability of medical images unifyin..:
, In:
2022 IEEE 7th International conference for Convergence in Technology (I2CT)
,
Abeyagunasekera, Sudil Hasitha Piyath
;
Perera, Yuvin
;
Chamara, Kenneth
... - p. 1-9 , 2022
Link:
https://doi.org/10.1109/I2CT54291.2022.9824840
RT T1 <cTitle>2022 IEEE 7th International conference for Convergence in Technology (I2CT)</cTitle>: T1 <Title>LISA : Enhance the explainability of medical images unifying current XAI techniques</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9824840&Exemplar=1&LAN=DE A1 Abeyagunasekera, Sudil Hasitha Piyath A1 Perera, Yuvin A1 Chamara, Kenneth A1 Kaushalya, Udari A1 Sumathipala, Prasanna A1 Senaweera, Oshada YR 2022 K1 Additives K1 Transfer learning K1 Neural networks K1 Mission critical systems K1 Debugging K1 Predictive models K1 Medical diagnosis K1 Explainable Artificial Intelligence K1 LIME K1 SHAP K1 Anchors K1 Integrated Gradients K1 XAI K1 CXR K1 Chest X-ray K1 Shapley Additive Explanations K1 Local Interpritable Model Agnostic Explanations K1 CNN K1 Unified Explanations K1 LISA SP 1 OP 9 LK http://dx.doi.org/https://doi.org/10.1109/I2CT54291.2022.9824840 DO https://doi.org/10.1109/I2CT54291.2022.9824840 SF ELIB - SuUB Bremen
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