A Comparative Analysis of PGGAN with Other Data Augmentation Technique for Brain Tumor Classification
Author:
Affiliation:
1. Kalinga Institute of Industrial Technology, deemed to be University,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10088285/10088286/10088416.pdf?arnumber=10088416
Reference21 articles.
1. Data Augmentation for Brain-Tumor Segmentation: A Review
2. GAN‐segNet : A deep generative adversarial segmentation network for brain tumor semantic segmentation
3. A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images
4. Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine
5. A Decisive Metaheuristic Attribute Selector Enabled Combined Unsupervised-Supervised Model for Chronic Disease Risk Assessment
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