py_ciu_image: A Python Library for Explaining Image Classification with Contextual Importance and Utility

py_ciu_image: A Python Library for Explaining Image Classification with Contextual Importance and Utility

Contextual Importance and Utility (CIU) is a model-agnostic method for explaining outcomes of AI systems. CIU has succeeded in producing meaningful explanations where state-of-the-art methods fail, e.g. for detecting bleeding in gastroenterological images. This paper presents a Python implementation...

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Bibliographische Detailangaben
Hauptverfasser: Främling, Kary, Apopei, Ioan-Vlad, Pihlgren, Gustav Grund, Malhi, Avleen
Format: Buchkapitel
Sprache:eng
Schlagworte:
Contextual Importance and Utility
Deep Neural Network
Explainable Artificial Intelligence
Image Classification
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Contextual Importance and Utility (CIU) is a model-agnostic method for explaining outcomes of AI systems. CIU has succeeded in producing meaningful explanations where state-of-the-art methods fail, e.g. for detecting bleeding in gastroenterological images. This paper presents a Python implementation of CIU for explaining image classifications.
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-031-70074-3_10