MRI Image Segmentation by Fully Convolutional Networks

被引：0
|
作者：
Wang, Yabiao [1 ]
Sun, Zeyu [1 ]
Liu, Chang [1 ]
Peng, Wenbo [1 ]
Zhang, Juhua [1 ]
机构：
[1] Beijing Inst Technol, Sch Life Sci, Key Lab Convergence Med Engn Syst & Healthcare Te, Minist Ind & Informat Technol, Beijing, Peoples R China
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION | 2016年
关键词：
MRI brain imaging; image segmentation; deep convolutional network; fully convolutional network; TISSUE SEGMENTATION; BRAIN IMAGES; ALGORITHM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the development of various imaging technologies, medical imaging has been playing more important roles on providing scientific proof for doctors to make decisions on clinical diagnosis. At the same time, it is very important to excavate valuable information hidden in those images and take over some auxiliary medical works from doctors by the computer. Therefore, a large number of image segmentation methods, including some classic algorithms have been proposed and some of them perform well. In this paper, we built a deep convolutional neural network to segment the MRI brain images. Results show that the network has a good performance on segmentation of the gray and white matter of brains, it also had a good generalization ability.
引用
收藏
页码：1697 / 1702
页数：6
相关论文
共 50 条
  • [1] INFINET: FULLY CONVOLUTIONAL NETWORKS FOR INFANT BRAIN MRI SEGMENTATION
    Kumar, Shubham
    Conjeti, Sailesh
    Roy, Abhijit Guha
    Wachinger, Christian
    Navab, Nassir
    2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), 2018, : 145 - 148
  • [2] Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks
    Bi, Lei
    Kim, Jinman
    Ahn, Euijoon
    Kumar, Ashnil
    Fulham, Michael
    Feng, Dagan
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2017, 64 (09) : 2065 - 2074
  • [3] Cocoon Image Segmentation Method Based on Fully Convolutional Networks
    Sun, Weihong
    Huang, Zhipeng
    Liang, Man
    Shao, Tiefeng
    Bi, Haizhong
    PROCEEDINGS OF THE SEVENTH ASIA INTERNATIONAL SYMPOSIUM ON MECHATRONICS, VOL II, 2020, 589 : 832 - 843
  • [4] Fully Residual Convolutional Neural Networks for Aerial Image Segmentation
    Dinh Viet Sang
    Nguyen Duc Minh
    PROCEEDINGS OF THE NINTH INTERNATIONAL SYMPOSIUM ON INFORMATION AND COMMUNICATION TECHNOLOGY (SOICT 2018), 2018, : 289 - 296
  • [5] Biomedical Image Segmentation using Fully Convolutional Networks on TrueNorth
    Palit, Indranil
    Yang, Lin
    Ma, Yue
    Chen, Danny Z.
    Niemier, Michael T.
    Xiong, Jinjun
    Hu, X. Sharon
    2018 31ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2018), 2018, : 375 - 380
  • [6] Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
    Xu, Xiaowei
    Lu, Qing
    Yang, Lin
    Hu, Xiaobo Sharon
    Chen, Danny
    Hu, Yu
    Shi, Yiyu
    2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 8300 - 8308
  • [7] Fully Convolutional Networks for Ultrasound Image Segmentation of Thyroid Nodules
    Li, Xuewei
    Wang, Shuaijie
    Wei, Xi
    Zhu, Jialin
    Yu, Ruiguo
    Zhao, Mankun
    Yu, Mei
    Liu, Zhiqiang
    Liu, Shupei
    IEEE 20TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS / IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITY / IEEE 4TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS), 2018, : 886 - 890
  • [8] ORCHESTRAL FULLY CONVOLUTIONAL NETWORKS FOR SMALL LESION SEGMENTATION IN BRAIN MRI
    Xu, Botian
    Chai, Yaqiong
    Galarza, Cristina M.
    Vu, Chau Q.
    Tamrazi, Benita
    Gaonkar, Bilwaj
    Macyszyn, Luke
    Coates, Thomas D.
    Lepore, Natasha
    Wood, John C.
    2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), 2018, : 889 - 892
  • [9] Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
    Valverde, Juan Miguel
    Shatillo, Artem
    De Feo, Riccardo
    Grohn, Olli
    Sierra, Alejandra
    Tohka, Jussi
    MACHINE LEARNING IN MEDICAL IMAGING (MLMI 2019), 2019, 11861 : 195 - 202
  • [10] Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks
    Streller, Matthias
    Michlíková, Soňa
    Ciecior, Willy
    Lönnecke, Katharina
    Kunz-Schughart, Leoni A.
    Lange, Steffen
    Voss-Böhme, Anja
    arXiv,
12345