Improving brain tumor segmentation on MRI based on the deep U-net and residual units
Author:
Affiliation:
1. College of Information Science and Technology, Henan University of Technology, Zhengzhou, China
2. Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou, Henan, China
Publisher
IOS Press
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Radiology Nuclear Medicine and imaging,Instrumentation,Radiation
Reference46 articles.
1. A survey of MRI-based medical image analysis for brain tumor studies;Bauer;Physics in Medicine and Biology,2013
2. DALSA: Domain adaptation for supervised learning from sparsely annotated MR images;Goetz;IEEE Transactions on Medical Imaging,2016
3. Dynamic magnetic resonance imaging of carbogen challenge on awake rabbit brain at 1.5T;Chen;Journal of X-ray Science and Technology,2018
4. Brain tumor classification using the diffusion tensor image segmentation (D-SEG) technique;Jones;Neuro Oncology,2014
5. Discrimination between glioblastoma multiforme and solitary metastasis using morphological features derived from the p: Q tensor decomposition of diffusion tensor imaging;Yang;NMR in Biomedicine,2014
Cited by 24 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. Brain Tumor Identification using YOLO Network;Journal of Innovative Image Processing;2024-06
2. Segmentation of Brain MRI Tumors by MedSAM with Prompts Generated by Object Detection;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29
3. Grey Wolf Optimizer and Deep Neural Network based Feature Selection and Classification in Medical Image Analysis;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28
4. ADB-Net: an attention-based dilated bridge model for fully automatic intra-tumour segmentation of gliomas;International Journal of Biomedical Engineering and Technology;2024
5. Glioma brain tumor detection using dual convolutional neural networks and histogram density segmentation algorithm;Biomedical Signal Processing and Control;2023-08
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