Arid
DOI10.1007/978-3-319-75238-9_1
Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation
Oguz, Ipek1; Carass, Aaron2,3; Pham, Dzung L.4; Roy, Snehashis4; Subbana, Nagesh1; Calabresi, Peter A.5; Yushkevich, Paul A.1; Shinohara, Russell T.6; Prince, Jerry L.2,3
通讯作者Oguz, Ipek
会议名称3rd International Workshop on Brain-Lesion (BrainLes) held jointly at the Conference on Medical Image Computing for Computer Assisted Intervention (MICCAI)
会议日期SEP 14, 2017
会议地点Quebec City, CANADA
英文摘要

The Dice overlap ratio is commonly used to evaluate the performance of image segmentation algorithms. While Dice overlap is very useful as a standardized quantitative measure of segmentation accuracy in many applications, it offers a very limited picture of segmentation quality in complex segmentation tasks where the number of target objects is not known a priori, such as the segmentation of white matter lesions or lung nodules. While Dice overlap can still be used in these applications, segmentation algorithms may perform quite differently in ways not reflected by differences in their Dice score. Here we propose a new set of evaluation techniques that offer new insights into the behavior of segmentation algorithms. We illustrate these techniques with a case study comparing two popular multiple sclerosis (MS) lesion segmentation algorithms: OASIS and LesionTOADS.


英文关键词Segmentation Evaluation MS Lesion
来源出版物BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2017
ISSN0302-9743
EISSN1611-3349
出版年2018
卷号10670
页码3-14
ISBN978-3-319-75237-2
EISBN978-3-319-75238-9
出版者SPRINGER INTERNATIONAL PUBLISHING AG
类型Proceedings Paper
语种英语
国家USA
收录类别CPCI-S
WOS记录号WOS:000432603300001
WOS关键词MULTIPLE-SCLEROSIS LESIONS ; MRI
WOS类目Computer Science, Theory & Methods ; Clinical Neurology ; Neurosciences ; Neuroimaging
WOS研究方向Computer Science ; Neurosciences & Neurology
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/307334
作者单位1.Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA;
2.Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA;
3.Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA;
4.Henry M Jackson Fdn Adv Mil Med, CNRM, Bethesda, MD 20817 USA;
5.Johns Hopkins Univ, Dept Neurol, Sch Med, Baltimore, MD 21287 USA;
6.Univ Penn, Dept Biostat & Epidemiol, Philadelphia, PA 19104 USA
推荐引用方式
GB/T 7714
Oguz, Ipek,Carass, Aaron,Pham, Dzung L.,et al. Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation[C]:SPRINGER INTERNATIONAL PUBLISHING AG,2018:3-14.
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