Pregled bibliografske jedinice broj: 1131623
Multiclass Classification of Oral Squamous Cell Carcinoma
Multiclass Classification of Oral Squamous Cell Carcinoma // Proceedings of the International Scientific Student Conference RI-STEM-2021 / Lorencin, Ivan ; Baressi Šegota, Sandi (ur.).
Rijeka, 2021. str. 7-11 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1131623 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Multiclass Classification of Oral Squamous Cell
Carcinoma
Autori
Musulin, Jelena ; Štifanić, Daniel ; Zulijani, Ana ; Car, Zlatan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Scientific Student Conference RI-STEM-2021
/ Lorencin, Ivan ; Baressi Šegota, Sandi - Rijeka, 2021, 7-11
ISBN
978-953-8246-22-7
Skup
International Student Scientific Conference (Ri-STEM 2021)
Mjesto i datum
Rijeka, Hrvatska, 10.06.2021. - 11.06.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Artificial Intelligence ; Histopathology images ; Oral Squamous Cell Carcinoma ; Xception
Sažetak
Oral cancer (OC) is a type of head and neck cancer in which malignant cells appear on the lips or in the oral cavity (in the mouth). Early detection of OC may increase the chances of survival in individuals, but new technologies may be expensive and time-consuming. Lately, the possibility of automated medical diagnosis with the aid of Artificial Intelligence (AI) tools has been receiving much attention. In this research, the integration of preprocessing techniques along with Xception algorithm is proposed for oral squamous cell carcinoma classification. The dataset was obtained from the Clinical Hospital Center in Rijeka and consists of 257 histopathology images. The proposed system achieved satisfactory results in terms of multiclass classification.
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne tehničke znanosti, Temeljne medicinske znanosti
POVEZANOST RADA
Projekti:
Ostalo-CEI - 305.6019-20 - Use of regressive artificial intelligence (AI) and machine learning (ML) methods in modelling of COVID-19 spread (COVIDAi) (Car, Zlatan, Ostalo - CEI Extraordinary Call for Proposals 2020) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-275-1447 - Razvoj inteligentnog ekspertnog sustava za online diagnostiku raka mokračnog mjehura (Car, Zlatan, NadSve - UNIRI potpore) ( CroRIS)
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
InoUstZnVO-CIII-HR-0108-10 - Concurrent Product and Technology Development - Teaching, Research and Implementation of Joint Programs Oriented in Production and Industrial Engineering (Car, Zlatan, InoUstZnVO - CEEPUS) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka,
Klinički bolnički centar Rijeka
