PSNet: prostate segmentation on MRI based on a convolutional neural network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

PSNet: prostate segmentation on MRI based on a convolutional neural network

Published:2018-01-17 Issue:02 Volume:5 Page:1
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Tian Zhiqiang¹,Liu Lizhi²,Zhang Zhenfeng³,Fei Baowei²

Affiliation:

1. Xi’an Jiaotong University, School of Software Engineering, Xi’an

2. Emory University School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, Georgia

3. The Second Hospital of Guangzhou Medical University, Department of Radiology, Guangzhou

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology Nuclear Medicine and imaging

Cited by 82 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

1. Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models;Physica Medica;2024-09

2. Prostate Segmentation in MRI Images using Transfer Learning based Mask R-CNN;Current Medical Imaging Reviews;2024-08-06

3. An Efficient Prostate MRI Segmentation using Deep Learning for better Cancer Diagnosis;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

4. From pixels to pathology: A novel dual-pathway multi-scale hierarchical upsampling network for MRI-based prostate zonal segmentation;Intelligent Systems with Applications;2024-06

5. A systematic review of deep learning methods for the classification and segmentation of prostate cancer on magnetic resonance images;International Journal of Imaging Systems and Technology;2024-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3