prikaz prve stranice dokumenta Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks
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Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks
U: IEEE EUROCON 2019 - 18th International Conference on Smart Technologies. Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 1-5. urn:nbn:hr:127:352991
Ilić, Ivan; Vodanović, Marin; Subašić, Marko

Institucijski repozitorij: Repozitorij stomatološkog fakulteta u Zagrebu

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Ilić, I., Vodanović, M. i Subašić, M. (2019). Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks. IEEE EUROCON 2019 - 18th International Conference on Smart Technologies (str. 1-5). Novi Sad: Institute of Electrical and Electronics Engineers (IEEE). Preuzeto s https://urn.nsk.hr/urn:nbn:hr:127:352991

Ilić, Ivan, et al. "Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks." IEEE EUROCON 2019 - 18th International Conference on Smart Technologies, Institute of Electrical and Electronics Engineers (IEEE), 2019, str. 1-5. https://urn.nsk.hr/urn:nbn:hr:127:352991

Ilić, Ivan, Marin Vodanović i Marko Subašić. "Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks." U IEEE EUROCON 2019 - 18th International Conference on Smart Technologies, 1-5. Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2019. Citirano 28.12.2024.. https://urn.nsk.hr/urn:nbn:hr:127:352991

Ilić, I., Vodanović, M. i Subašić, M. (2019) 'Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks', IEEE EUROCON 2019 - 18th International Conference on Smart Technologies, Institute of Electrical and Electronics Engineers (IEEE), Novi Sad, str. 1-5. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:127:352991 (Datum pristupa: 28.12.2024.)

Ilić I, Vodanović M, Subašić M. Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks. IEEE EUROCON 2019 - 18th International Conference on Smart Technologies. Novi Sad: Institute of Electrical and Electronics Engineers (IEEE); 2019. Str. 1-5. [pristupljeno 28.12.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:127:352991

I. Ilić, M. Vodanović i M. Subašić, "Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks", IEEE EUROCON 2019 - 18th International Conference on Smart Technologies Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2019. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:127:352991 [Citirano: 28.12.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:127:352991
Podaci o radu
Naslov (engleski)Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks
AutorIvan Ilić
AutorMarin Vodanović
AutorMarko Subašić
Autorova ustanova(Klinički bolnički centar Zagreb)
Autorova ustanovaSveučilište u Zagrebu
Fakultet elektrotehnike i računarstva
Autorova ustanovaSveučilište u Zagrebu
Stomatološki fakultet
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Dentalna medicina
Sažetak (engleski)
Current techniques for gender estimation from Xray images, except being time-consuming, require a highly experienced expert to perform the process. Deep convolutional neural networks have shown to be a very successful technique in many computer vision tasks, mainly because of high accuracy, stability, and processing speed. In this paper, we propose a new method to the gender estimation from panoramic dental X-ray images based on analysis of images using deep convolutional neural networks trained to perform a binary classification. Detailed insight is provided into architecture, hyperparameters and training procedure of our best performing model obtaining an accuracy of 94.3% on a test set. Further experiments have been performed to get a better understanding of anatomical structures which carry the most important information for gender estimation. The presented method requires no special knowledge or equipment to be used, and besides high accuracy, it is also extremely fast with only 18ms of processing time per image on a dedicated GPU.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Sažetak znanstvenog rada s konferencije (pozvano predavanje)
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov zbornikaIEEE EUROCON 2019 - 18th International Conference on Smart Technologies
Brojčani podacistr. 1-5
ISBN9781538693025
URN:NBNurn:nbn:hr:127:352991
Datum objave publikacije2019
SkupNaziv: Smart Technologies. International Conference
Kratica: IEEE EUROCON
Lokacija: Novi Sad, Srbija
Datum početka: 2019-07-01
Datum završetka: 2019-07-04
Vrsta izlaganja: Predavanje
Vrsta resursaTekst
IzdavačInstitute of Electrical and Electronics Engineers (IEEE)
Mjesto izdavanjaNovi Sad
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje-Nekomercijalno-Bez prerada 4.0 međunarodna (CC BY-NC-ND 4.0)
Datum i vrijeme pohrane2023-10-23 09:04:40