Improved Brain Tumor Segmentation Using Modified U-Net based on Particle Swarm Optimization Image Enhancement
Author:
Affiliation:
1. Faculty of Computer Science, AGH University of Krakow, Poland, Krakow, Poland
2. Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia, Yogyakarta, Indonesia
Funder
PLGrid
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3654339
Reference27 articles.
1. Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
2. Structural similarity index (SSIM) revisited: A data-driven approach
3. Deep learning for multi-grade brain tumor detection and classification: a prospective survey
4. Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
5. A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
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1. Automatic Brain Tumor Segmentation Using Convolutional Neural Networks: U-Net Framework with PSO-Tuned Hyperparameters;Lecture Notes in Computer Science;2024
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