MultiResolution 3D Magnetic Resonance Imaging Analysis for Prostate Cancer Imaging
Author:
Affiliation:
1. Department of ECE, Sri Eshwar College of Engineering, India
2. Computer Science and Engineering, Chandigarh University, India
3. Computer Science and Engineering, Manipal University Jaipur, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3647444.3647850
Reference29 articles.
1. Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging—State-of-the-Art and Challenges
2. Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI
3. CCT-Unet: A U-Shaped Network Based on Convolution Coupled Transformer for Segmentation of Peripheral and Transition Zones in Prostate MRI
4. Deep Learning Based Localisation and Segmentation of Prostate Cancer from mp-MRI Images
5. Computational Intelligence Approach to improve the Classification Accuracy of Brain Tumour Detection
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