Funder
National Cancer Institute
Stanford University School of Medicine
National Institutes of Health
Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference62 articles.
1. Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net;Aldoj;Sci. Rep.,2020
2. A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy;Anas;Med. Image Anal.,2018
3. Anas, E.M.A., Nouranian, S., Mahdavi, S.S., Spadinger, I., Morris, W.J., Salcudean, S.E., Mousavi, P., Abolmaesumi, P., 2017. Clinical target-volume delineation in prostate brachytherapy using residual neural networks. In: Medical Image Computing and Computer Assisted Intervention, MICCAI 2017. pp. 365–373.
4. Ultrasound medical imaging techniques: A survey;Avola;ACM Comput. Surv.,2021
5. Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy;Azizi;Int. J. Comput. Assist. Radiol. Surg.,2018
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献