An end-end deep learning framework for lesion segmentation on multi-contrast MR images—an exploratory study in a rat model of traumatic brain injury

被引：0
|
作者：
Bhanu Prakash KN
Arvind CS
Abdalla Mohammed
Krishna Kanth Chitta
Xuan Vinh To
Hussein Srour
Fatima Nasrallah
机构：
[1] Bioinformatics Institute,Clinical Data Analytics & Radiomics, Cellular Image Informatics
[2] A*STAR,Cellular Image Informatics
[3] Bioinformatics Institute,Queensland Brain Institute
[4] A*STAR Horizontal Technology Centers,Signal and Image Processing Group, Laboratory of Molecular Imaging
[5] The University of Queensland,undefined
[6] Singapore Bioimaging Consortium,undefined
[7] A*STAR,undefined
来源：
Medical & Biological Engineering & Computing | 2023年 / 61卷
关键词：
Traumatic brain injury; U-Net; Global attention; Self-attention; Deep learning; Segmentation; Controlled cortical impact;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：847 / 865
页数：18
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