U-Net-based Artificial Intelligence for Accurate and Robust Brain Tumor Diagnosis using Magnetic Resonance Imaging-Reference-Cited by-同舟云学术

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U-Net-based Artificial Intelligence for Accurate and Robust Brain Tumor Diagnosis using Magnetic Resonance Imaging

Published:2023-05-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th International Conference on Networking, Intelligent Systems & Security
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Author:

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

Affiliation:

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

2. ENSET of Mohammedia, EEIS Laboratory, Hassan II University of Casablanca, Morocco and GENIUS Laboratory, SupMTI of Rabat, Morocco

3. ENSET of Mohammedia, EEIS Laboratory, Hassan II University of Casablanca, Morocco and Provincial section of El Jadida, STIE Team, CRMEF Casablanca-Settat, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607720.3607776

Reference33 articles.

1. Multiclass Classification of Brain Tumors with Various Deep Learning Models

2. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

3. Brain Tumor Detection using MRI Images and Convolutional Neural Network

4. Keypoint Transfer Segmentation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic Localization and Classification of Brain Tumors using Deep Residual Networks and MRI Images;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

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