mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops.

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Bibliographic Details
Title: mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops.
Authors: Pavarino EC; Department of Cellular and Molecular Biology, Harvard University, Cambridge, MA, United States., Yang E; Department of Cellular and Molecular Biology, Harvard University, Cambridge, MA, United States., Dhanyasi N; Department of Cellular and Molecular Biology, Harvard University, Cambridge, MA, United States., Wang MD; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada., Bidel F; Department of Neurobiology, Silberman Institute of Life Sciences, The Hebrew University, Jerusalem, Israel., Lu X; Department of Cellular and Molecular Biology, Harvard University, Cambridge, MA, United States., Yang F; Department of Cellular and Molecular Biology, Harvard University, Cambridge, MA, United States., Francisco Park C; Department of Physics, Harvard University, Cambridge, MA, United States., Bangalore Renuka M; Department of Cellular and Molecular Biology, Harvard University, Cambridge, MA, United States., Drescher B; Department of Biology, University of Massachusetts Amherst, Amherst, MA, United States., Samuel ADT; Department of Physics, Harvard University, Cambridge, MA, United States., Hochner B; Department of Neurobiology, Silberman Institute of Life Sciences, The Hebrew University, Jerusalem, Israel., Katz PS; Department of Biology, University of Massachusetts Amherst, Amherst, MA, United States., Zhen M; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada., Lichtman JW; Department of Cellular and Molecular Biology, Harvard University, Cambridge, MA, United States., Meirovitch Y; Department of Cellular and Molecular Biology, Harvard University, Cambridge, MA, United States.
Source: Frontiers in neural circuits [Front Neural Circuits] 2023 Jun 15; Vol. 17, pp. 952921. Date of Electronic Publication: 2023 Jun 15 (Print Publication: 2023).
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477940 Publication Model: eCollection Cited Medium: Internet ISSN: 1662-5110 (Electronic) Linking ISSN: 16625110 NLM ISO Abbreviation: Front Neural Circuits Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1662-5110
DOI:10.3389/fncir.2023.952921