Causability and explainability of artificial intelligence in medicine

Author:

Holzinger Andreas1ORCID,Langs Georg2,Denk Helmut3,Zatloukal Kurt3,Müller Heimo13

Affiliation:

1. Institute for Medical Informatics, Statistics and Documentation Medical University Graz Graz Austria

2. Department of Biomedical Imaging and Image‐guided Therapy Computational Imaging Research Lab, Medical University of Vienna Vienna Austria

3. Institute of Pathology Medical University Graz Graz Austria

Publisher

Wiley

Subject

General Computer Science

Reference85 articles.

1. Abadi M. Agarwal A. Barham P. Brevdo E. Chen Z. Citro C. Corrado G. S. Davis A. Dean J. &Devin M.(2016). Tensorflow: Large‐scale machine learning on heterogeneous distributed systems.arXiv:1603.04467.

2. Classification of breast cancer histology images using Convolutional Neural Networks

3. Babiker H. K. B. &Goebel R.(2017). An introduction to deep visual explanation.arXiv:1711.09482.

4. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

5. Baumgartner C. F. Koch L. M. Tezcan K. C. Ang J. X. &Konukoglu E.(2017).Visual feature attribution using wasserstein gans. Paper presented at Proceedings of the IEEE computer society conference on computer vision and pattern recognition.

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