Automatic Localization and Classification of Brain Tumors using Deep Residual Networks and MRI Images-Reference-Cited by-同舟云学术

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Automatic Localization and Classification of Brain Tumors using Deep Residual Networks and MRI Images

Published:2024-05-16 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
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Author:

Lamrani Driss¹,Bouqentar Mohammed Amine¹,Mahjoubi Mohamed Amine¹,Hamida Soufiane²,Cherradi Bouchaib³,Bahatti Lhoussain¹

Affiliation:

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

2. 2IACS Laboratory, ENSET of Mohammedia, Hassan II University of Casablanca,Mohammedia,Morocco

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548014/10548010/10548396.pdf?arnumber=10548396

Reference53 articles.

1. Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

2. MRI Segmentation of the Human Brain: Challenges, Methods, and Applications

3. Magnetic Resonance Imaging Segmentation Techniques of Brain Tumors: A Review

4. Medical Image Segmentation Using Deep Neural Networks with Pre-trained Encoders

5. Type 2 Diabetes Mellitus Prediction Model Based on Machine Learning Approach

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