Contrastive Self-Supervised Learning in Medical Signal Processing: Literature Review and Case Study-Reference-Cited by-同舟云学术

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Contrastive Self-Supervised Learning in Medical Signal Processing: Literature Review and Case Study

Published:2024-06-28 Issue: Volume:33 Page:1-7
ISSN:
Container-title:2024 International Conference on Circuit, Systems and Communication (ICCSC)
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Author:

Alouani Zakaria¹,Othmane Daanouni¹,Saleh Shawki²,Moujahid Hicham³,Cherradi Bouchaib¹,Bouattane Omar¹

Affiliation:

1. Hassan II University of Casablanca,EEIS Laboratory ENSET of Mohammedia,Mohammedia,Morocco

2. Hassan II University of Casablanca,STIE Team, CRMEF Casablanca-Settat. EEIS Laboratory, ENSET Mohammedia,Mohammedia,Morocco

3. Chouaib Doukali University,LaROSERI Laboratory Faculty of Science,El Jadida,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616390/10616394/10616756.pdf?arnumber=10616756

Reference45 articles.

1. Deep Learning in Medical Image Analysis

2. GPU fuzzy c-means algorithm implementations: performance analysis on medical image segmentation

3. Improved Multiclass Brain Tumor Detection using Convolutional Neural Networks and Magnetic Resonance Imaging

4. COVID-19 Detection on X-Ray Images using a Combining Mechanism of Pre-trained CNNs

5. Screening Medical Face Mask for Coronavirus Prevention using Deep Learning and AutoML

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