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eNauka >  Rezultati >  Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation
Naziv: Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation
Autori: Stoean, Catalin; Bacanin, Nebojsa  ; Stoean, Ruxandra; Ionescu, Leonard; Garau, Alina Maria; Ghitescu, Cristina Camelia
Godina: 2023
Publikacija: 2023 25TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, SYNASC 2023
ISSN: 2470-8801 Pretraži identifikator
Tip rezultata: Konferencijski rad
Kolacija: vol. abs/1908.02548 str. 266-273
DOI: 10.1109/SYNASC61333.2023.00046
WoS-ID: 001223988300013
Scopus-ID: 2-s2.0-85193785934
URI: https://enauka.gov.rs/handle/123456789/936957
URL: https://doi.org/10.1109%2FSYNASC61333.2023.00046
Projekat: Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI, within PNCDI III [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
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