Results

eNauka >  Results >  Automated Segmentation of Cell Organelles in volume electron microscopy using Deep Learning
Title: Automated Segmentation of Cell Organelles in volume electron microscopy using Deep Learning
Authors: Н. Нешић ; X. Heiligenstein; L. Zopf; V. Blüml; K. Keuenhof; M. Wagner; J. Höög; H. Qi; Z. Li; G. Tsaramirsis;
C. Peddie; M. Stojmenović  ; A. Walter;
Issue Date: 2024
Publication: MICROSCOPY RESEARCH AND TECHNIQUE
ISSN: 1059-910X Microscopy Research and Technique Search Idenfier
Type: Article
Collation: vol. 87 br. 8 str. 1718-1732
DOI: 10.1002/jemt.24548
WoS-ID: 001186877100001
Scopus-ID: 2-s2.0-85188534321
URI: https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.24548
https://enauka.gov.rs/handle/123456789/923428
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/9990
URL: https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.24548
M-category: 
21aM21a

12
SCOPUSTM
11
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.