A ConvMixEst and Multi-attention UNet for Intervertebral Disc Segmentation in Multi-modal MRI

被引：0
|
作者：
Lu, Sipei [1 ]
Liu, Hanqiang [1 ]
Guo, Xiangkai [1 ]
机构：
[1] School of Computer Science, Shaanxi Normal University, Xi’an, China
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2023年 / 14090 LNAI卷
关键词：
Engineering Village;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Attention mechanisms - Attentional mechanism - Context information - Deep learning - Feature information - Global context - Intervertebral disk - Intervertebral disk segmentation - Multi-modal - Multimodal imaging
引用
收藏
页码：137 / 146
相关论文
共 50 条
  • [31] Lifelong Learning with Dynamic Convolutions for Glioma Segmentation from Multi-Modal MRI
    Banerjee, Subhashis
    Strand, Robin
    MEDICAL IMAGING 2023, 2023, 12464
  • [32] Multi-modal MRI segmentation of sarcoma tumors using convolutional neural networks
    Holbrook, M.
    Blocker, S. J.
    Mowery, Y. M.
    Badea, C. T.
    MEDICAL IMAGING 2019: PHYSICS OF MEDICAL IMAGING, 2019, 10948
  • [33] Multi-Stage Fusion and Multi-Source Attention Network for Multi-Modal Remote Sensing Image Segmentation
    Zhao, Jiaqi
    Zhou, Yong
    Shi, Boyu
    Yang, Jingsong
    Zhang, Di
    Yao, Rui
    ACM Transactions on Intelligent Systems and Technology, 2021, 12 (06):
  • [34] A Deep Learning Harmonization of Multi-Vendor MRI for Robust Intervertebral Disc Segmentation
    Kim, Chaewoo
    Park, Sang-Min
    Lee, Sanghoon
    Lee, Deukhee
    IEEE ACCESS, 2024, 12 : 19482 - 19499
  • [35] Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI
    Valindria, Vanya V.
    Pawlowski, Nick
    Rajchl, Martin
    Lavdas, Ioannis
    Aboagye, Eric O.
    Rockall, Andrea G.
    Rueckert, Daniel
    Glocker, Ben
    2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018), 2018, : 547 - 556
  • [36] A Multi-Modal System for Road Detection and Segmentation
    Hu, Xiao
    Rodriguez F, Sergio A.
    Gepperth, Alexander
    2014 IEEE INTELLIGENT VEHICLES SYMPOSIUM PROCEEDINGS, 2014, : 1365 - 1370
  • [37] PIMMS: Permutation Invariant Multi-modal Segmentation
    Varsavsky, Thomas
    Eaton-Rosen, Zach
    Sudre, Carole H.
    Nachev, Parashkev
    Cardoso, M. Jorge
    DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT, DLMIA 2018, 2018, 11045 : 201 - 209
  • [38] Multi-modal Transformer for Brain Tumor Segmentation
    Cho, Jihoon
    Park, Jinah
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2022, 2023, 13769 : 138 - 148
  • [39] Multi-modal Attention for Speech Emotion Recognition
    Pan, Zexu
    Luo, Zhaojie
    Yang, Jichen
    Li, Haizhou
    INTERSPEECH 2020, 2020, : 364 - 368
  • [40] Multi-modal PixelNet for Brain Tumor Segmentation
    Islam, Mobarakol
    Ren, Hongliang
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2017, 2018, 10670 : 298 - 308
12345