Segmentation of perivascular spaces using vascular features and structured random forest from 7T MR image
Version 2 2024-06-05, 00:41
Version 1 2022-09-28, 05:56
conference contribution
posted on 2024-06-05, 00:41 authored by Jun Zhang, Y Gao, SH Park, X Zong, W Lin, D ShenSegmentation of perivascular spaces using vascular features and structured random forest from 7T MR image
History
Volume
10019 LNCSPagination
61-68Location
Athens, GREECEStart date
2016-10-17End date
2016-10-17ISSN
0302-9743eISSN
1611-3349ISBN-13
9783319471563Language
engPublication classification
E1.1 Full written paper - refereedEditor/Contributor(s)
Wang L, Adeli E, Wang Q, Shi Y, Suk HITitle of proceedings
MLMI 2016 : Machine learning in medical imaging : Proceedings of International Workshop on Machine Learning in Medical Imaging 2016 conferenceEvent
Medical learning in medical imaging. Conference (2016 : Athens, Greece)Publisher
SpringerPlace of publication
Berlin, GermanySeries
Lecture Notes in Computer ScienceUsage metrics
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No categories selectedKeywords
BLOOD-VESSEL SEGMENTATIONCLASSIFICATIONComputer ScienceComputer Science, Artificial IntelligenceComputer Science, Theory & MethodsDice similarity coefficientLife Sciences & BiomedicineLocal entropyRadiology, Nuclear Medicine & Medical ImagingRandom forestRandom forest modelScience & TechnologySegmentation performanceTechnology
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