Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection-Reference-Cited by-同舟云学术

Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection

Published:2021 Issue: Volume: Page:3-17
ISSN:0302-9743
Container-title:Medical Image Understanding and Analysis
language:
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Author:

Chowdhury Tamal,Bajwa Angad R. S.,Chakraborti Tapabrata,Rittscher Jens,Pal Umapada

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80432-9_1

Reference30 articles.

1. LeCun, Y., Bengio, Y.: Convolutional networks for images, speech, and time series. In: The Handbook of Brain Theory and Neural Networks (1995)

2. Jensen, D., Elewski, B.E.: The ABCDEF rule: combining the ABCDE rule and the ugly duckling sign in an effort to improve patient self-screening examinations. J. Clin. Aesthetic Dermatol. 8(2), 15 (2015)

3. Lecture Notes in Computer Science;P Van Molle,2018

4. Lecture Notes in Computer Science;K Young,2019

5. Selvaraju, R.R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., Batra, D.: Grad-cam: visual explanations from deep networks via gradient-based localization. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 618–626 (2017)

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