A novel brain tumor segmentation method for multi-modality human brain MRIs

被引:0
|
作者
Zhan, Tianming [1 ]
Gu, Shenghua [2 ]
Jiang, Lei [3 ]
Zhan, Yongzhao [1 ]
机构
[1] School of Computer Science and Communications Engineering, Jiangsu University, Zhenjiang, China
[2] Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science and Technology, Nanjing, China
[3] Petrochina Southwest Oil and Gasfield Company, Luzhou, China
关键词
Automatic technique - Brain tumor segmentation - Classification accuracy - Contextual constraints - Contextual information - Multiple classifier systems - Segmentation results - Treatment planning;
D O I
10.14257/ijmue.2015.10.11.11
中图分类号
学科分类号
摘要
引用
收藏
页码:115 / 122
相关论文
共 50 条
  • [21] Development and Validation of an Unpaired Multi-Modality Image Generation Model on Brain Tumor Segmentation in Sequence Missing Scenarios
    Li, Zhuoyuan
    He, Kelei
    Li, Wei
    Hang, Chunhua
    NEUROSURGERY, 2025, 71 : 45 - 45
  • [22] Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
    Zhang, Wenlu
    Li, Rongjian
    Deng, Houtao
    Wang, Li
    Lin, Weili
    Ji, Shuiwang
    Shen, Dinggang
    NEUROIMAGE, 2015, 108 : 214 - 224
  • [23] Multi-Modality Reconstruction Attention and Difference Enhancement Network for Brain MRI Image Segmentation
    Zhang, Xiangfen
    Liu, Yan
    Zhang, Qingyi
    Yuan, Feiniu
    IEEE ACCESS, 2022, 10 : 31058 - 31069
  • [24] Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation
    Wang, Li
    Shi, Feng
    Li, Gang
    Lin, Weili
    Gilmore, John H.
    Shen, Dinggang
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION (MICCAI 2013), PT I, 2013, 8149 : 703 - 710
  • [25] Automated brain tumor segmentation from multi-modality MRI data based on Tamura texture feature and SVM model
    Li, Na
    Xiong, Zhiyong
    2018 INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY, 2019, 1168
  • [26] Automatic Brain Tumor Segmentation by Exploring the Multi-modality Complementary Information and Cascaded 3D Lightweight CNNs
    Ma, Jun
    Yang, Xiaoping
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2018, PT II, 2019, 11384 : 25 - 36
  • [27] TUMOR SEGMENTATION VIA MULTI-MODALITY JOINT DICTIONARY LEARNING
    Wang, Yan
    Yu, Biting
    Wang, Lei
    Zu, Chen
    Luo, Yong
    Wu, Xi
    Yang, Zhipeng
    Zhou, Jiliu
    Zhou, Luping
    2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), 2018, : 1336 - 1339
  • [28] Deep pattern-based tumor segmentation in brain MRIs
    Nadjet Bouchaour
    Smaine Mazouzi
    Neural Computing and Applications, 2022, 34 : 14317 - 14326
  • [29] Deep pattern-based tumor segmentation in brain MRIs
    Bouchaour, Nadjet
    Mazouzi, Smaine
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (17): : 14317 - 14326
  • [30] Symmetry based multi-modality registration of the brain imagery
    Liu, Xin
    Imielinska, Celina
    Laine, Andrew Francis
    D'Ambrosio, Anthony
    2007 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1-3, 2007, : 1081 - +