Image Preprocessing Techniques in Skin Diseases Prediction using Deep Learning: A Review-Reference-Cited by-同舟云学术

Image Preprocessing Techniques in Skin Diseases Prediction using Deep Learning: A Review

Published:2022-09-21 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)
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Author:

Kottath Anu V¹,Shri Bharathi SV¹

Affiliation:

1. Hindustan Institute of Technology and Science,Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9985450/9985015/09985547.pdf?arnumber=9985547

Reference37 articles.

1. Going deeper with convolutions

2. Fusing fine-tuned deep features for skin lesion classification

3. Deep networks for early stage skin disease and skin cancer classification;esteva;Project Report,2015

4. Segnet: A deep convolutionalencoder and decoder architecture for image segmentation;badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2018

5. Squeeze-and-Excitation Networks

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