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A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology.

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Bibliographic Details
Title: A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology.
Authors: Haft-Javaherian M; Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA.; Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA 02142 USA., Villiger M; Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA., Schaffer CB; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853 USA., Nishimura N; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853 USA., Golland P; Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA 02142 USA., Bouma BE; Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142 USA.
Source: Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops [Conf Comput Vis Pattern Recognit Workshops] 2020 Jun; Vol. 2020, pp. 4262-4271. Date of Electronic Publication: 2020 Jul 28.
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101554644 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2160-7508 (Print) Linking ISSN: 21607508 NLM ISO Abbreviation: Conf Comput Vis Pattern Recognit Workshops Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2160-7508
DOI:10.1109/cvprw50498.2020.00503