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On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool
| Naziv: | On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool | Autori: | Majtner, Tomas; Bajic, Buda   ; Lindblad, Joakim; Sladoje, Natasa; Blanes-Vidal, Victoria; Nadimi, Esmaeil S |
Godina: | 2019 | Publikacija: | IMAGE ANALYSIS | ISSN: | 0302-9743 Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Pretraži identifikator |
Tip rezultata: | Konferencijski rad | Kolacija: | vol. 11482 str. 439-451 | DOI: | 10.1007/978-3-030-20205-7_36 | WoS-ID: | 000577966300036 | Scopus-ID: | 2-s2.0-85066916852 | URI: | https://enauka.gov.rs/handle/123456789/796990 | Projekat: | University of Southern Denmark Odense University Hospital Danish Cancer SocietyDanish Cancer Society Region of Southern Denmark through the Project EFFICACY Swedish Research Council [2015-05878, 2017-04385] Sweden's Innovation |
Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | Mp kategorija će biti prikazana naknadno. |
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