MRI Segmentation Using Deep Neural Network-based Unet Architecture for Brain Tumor
Author:
Affiliation:
1. JJT University,Rajasthan
2. ICEM,Pune
3. Western Business School,Pune
4. ITM,Gwalior
5. BSCER,Pune
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10205372/10205375/10205576.pdf?arnumber=10205576
Reference15 articles.
1. Deep Learning-Based Segmentation and Classification Techniques for Brain Tumor MRI: A Review
2. Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review;yothi;Artificial Intelligence Review,2022
3. Using Deep CNN with Data Permutation Scheme for Classification of Alzheimer’s Disease in Structural Magnetic Resonance Imaging (sMRI);ee;IEICE Transactions on Information and Systems,2019
4. orrection: Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture;PLoS ONE,2021
5. Herbal Plants Leaf Image Classification Using Deep Learning Models Based On Augmentation Approach;umar;SSRN Electronic Journal,2022
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