HihO: accelerating artificial intelligence interpretability for medical imaging in IoT applications using hierarchical occlusion-Reference-Cited by-同舟云学术

HihO: accelerating artificial intelligence interpretability for medical imaging in IoT applications using hierarchical occlusion

Published:2020-10-01 Issue:11 Volume:33 Page:6027-6038
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Monroe William S.^ORCID,Skidmore Frank M.,Odaibo David G.,Tanik Murat M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-020-05379-4.pdf

Reference30 articles.

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3. Lundberg SM , Lee S-I (2017) A unified approach to interpreting model predictions. In: Advances in neural information processing systems, pp 4765–4774

4. Grover S, Bhartia S, Yadav A, Seeja KR et al (2018) Predicting severity of Parkinson’s disease using deep learning. Procedia Comput Sci 132:1788–1794

5. Zaharchuk G, Gong E, Wintermark M, Rubin D, Langlotz CP (2018) Deep learning in neuroradiology. Am J Neuroradiol 39(10):1776–1784

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