Results

eNauka >  Results >  An algorithm for automated segmentation for bleeding detection in endoscopic images
Title: An algorithm for automated segmentation for bleeding detection in endoscopic images
Authors: Tuba, Eva M.  ; Tuba, Milan J.  ; Jovanović, Raka D.  
Issue Date: 2017
Publication: IEEE International Joint Conference on Neural Networks (IJCNN)
ISSN: 2161-4407 Search Idenfier
Publisher: IEEE, Anchorage, Alaska
Type: Conference Paper
ISBN: 978-1-5090-6182-2 Search Idenfier
Collation: str. 4579-4586
DOI: 10.1109/IJCNN.2017.7966437
WoS-ID: 000426968704110
Scopus-ID: 2-s2.0-85030999501
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/5584
https://enauka.gov.rs/handle/123456789/369893
URL: http://ieeexplore.ieee.org/document/7966437/
Metadata source: Migracija
M-category: 
Mp. category will be shown later

63
SCOPUSTM
24
OpenCitations
44
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Google ScholarTM

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