Editorial for “Weakly Supervised MRI Slice‐Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel‐ and Slice‐Level Annotation: Effect of Increasing Training Set Size”
Author:
Affiliation:
1. Dornsife Imaging Center University of Southern California California USA
Abstract
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28885
Reference7 articles.
1. Deep learning
2. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
3. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI
4. Constrained-CNN losses for weakly supervised segmentation
5. Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy
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