Machine and Deep Learning Approaches For Brain Tumor Identification: Technologies, Applications, and Future Directions
Author:
Affiliation:
1. Chandigarh university,CSE department
2. AIT, Chandigarh University (Gharuan),Department of Computer Science and Engineering,Mohali,India
3. JMIETI,Department of CSE Department,Radaur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10183385/10182405/10183492.pdf?arnumber=10183492
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1. Prevalence of depression in patients with type 2 diabetes mellitus in Spain (the DIADEMA Study) : results from the MADIABETES cohort
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3. Multi-class Brain Tumor Segmentation using Graph Attention Network;patel;ArXiv Preprint,2023
4. The RSNA-ASNR-MICCAI BraTS 2021 benchmark on brain tumor segmentation and radiogenomic classification;baid;ArXiv Preprint,2021
5. A Comparative Analysis of Data Augmentation Approaches for Magnetic Resonance Imaging (MRI) Scan Images of Brain Tumor
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