Clinically Significant Prostate Cancer Classification Using Anatomical T2W MRI Sequences and Deep Learning
Author:
Affiliation:
1. Near East University,Dept. of Electrical and Electronic Engr.,Nicosia,Cyprus
2. Deep Med Imaging Group,Nicosia,Cyprus
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10304839/10304842/10304897.pdf?arnumber=10304897
Reference19 articles.
1. Multiparametric ultrasound and machine learning for prostate cancer localization
2. Automatic high resolution segmentation of the prostate from multi-planar MRI
3. Ensemble learning and personalized training for the improvement of unsupervised deep learning‐based synthetic CT reconstruction
4. Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
5. Comparison of a Deep Learning‐Accelerated vs. Conventional T2‐Weighted Sequence in Biparametric MRI of the Prostate
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