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1
An Overview Of Interpretability Techniques For Explainable ..:
, In:
2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)
,
S, Priya Dharshini
;
Kumar K, Ram
;
S, Venkatesh
.. - p. 175-182 , 2023
Link:
https://doi.org/10.1109/ICACCS57279.2023.10113001
RT T1 <cTitle>2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)</cTitle>: T1 <Title>An Overview Of Interpretability Techniques For Explainable Artificial Intelligence (XAI) In Deep Learning-Based Medical Image Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10113001&Exemplar=1&LAN=DE A1 S, Priya Dharshini A1 Kumar K, Ram A1 S, Venkatesh A1 K, Narasimhan A1 K, Adalarasu YR 2023 SN 2575-7288 K1 Deep learning K1 Analytical models K1 Image analysis K1 Computational modeling K1 Neural networks K1 Medical services K1 Computer architecture K1 Explainable Artificial Intelligence (XAI) K1 XAI architecture K1 Medical Image Analysis K1 Interpretability method K1 XAI approaches K1 Explanation methods K1 Visual explanation K1 Deep neural network SP 175 OP 182 LK http://dx.doi.org/https://doi.org/10.1109/ICACCS57279.2023.10113001 DO https://doi.org/10.1109/ICACCS57279.2023.10113001 SF ELIB - SuUB Bremen
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