Neural network for autonomous segmentation and volumetric assessment of clot and edema in acute and subacute intracerebral hemorrhages.

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Bibliographic Details
Title: Neural network for autonomous segmentation and volumetric assessment of clot and edema in acute and subacute intracerebral hemorrhages.
Authors: Lilieholm T; Department of Medical Physics, University of Wisconsin at Madison, Madison, WI, USA. Electronic address: tlilieholm@wisc.edu., McMillan A; Department of Medical Physics, University of Wisconsin at Madison, Madison, WI, USA; Department of Radiology, University of Wisconsin at Madison, Madison, WI, USA; Deparment of Biomedical Engineering, University of Wisconsin at Madison, Madison, WI, USA., Ahmed A; Department of Neurosurgery, University of Wisconsin at Madison, Madison, WI, USA., Henningsen M; Department of Electrical Engineering, University of Wisconsin at Madison, Madison, WI, USA., Larson M; Department of Radiology, University of Wisconsin at Madison, Madison, WI, USA., Block WF; Department of Medical Physics, University of Wisconsin at Madison, Madison, WI, USA; Department of Radiology, University of Wisconsin at Madison, Madison, WI, USA; Deparment of Biomedical Engineering, University of Wisconsin at Madison, Madison, WI, USA.
Source: Magnetic resonance imaging [Magn Reson Imaging] 2023 Nov; Vol. 103, pp. 162-168. Date of Electronic Publication: 2023 Aug 02.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8214883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5894 (Electronic) Linking ISSN: 0730725X NLM ISO Abbreviation: Magn Reson Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-5894
DOI:10.1016/j.mri.2023.07.015