Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability-Reference-Cited by-同舟云学术

Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability

Published:2021 Issue: Volume: Page:540-549
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
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Author:

Graziani Mara,Palatnik de Sousa Iam,Vellasco Marley M. B. R.,Costa da Silva Eduardo,Müller Henning,Andrearczyk Vincent

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87199-4_51

Reference24 articles.

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2. Alber, M., Let al.: Innvestigate neural networks! J. Mach. Learn. Res. 20(93), 1–8 (2019). http://jmlr.org/papers/v20/18-540.html

3. Fraggetta, F.: Clinical-grade computational pathology: alea iacta est. J. Pathol. Inf. 10 (2019)

4. Lecture Notes in Computer Science;J Gamper,2019

5. Lecture Notes in Computer Science;M Graziani,2018

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