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Scientific paper - Conference abstract (invited lecture)
Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks
In: IEEE EUROCON 2019 - 18th International Conference on Smart Technologies. Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2019. pp. 1-5. urn:nbn:hr:127:352991
Ilić, Ivan; Vodanović, Marin; Subašić, Marko

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

Ilić, Ivan, Marin Vodanović and Marko Subašić. "Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks." In IEEE EUROCON 2019 - 18th International Conference on Smart Technologies, 1-5. Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2019. Accessed 2024 April 29. https://urn.nsk.hr/urn:nbn:hr:127:352991

Ilić, I., Vodanović, M. and 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, pp. 1-5. Available at: https://urn.nsk.hr/urn:nbn:hr:127:352991 (Accessed 29 April 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. Pp. 1-5. [cited 2024 April 29] Available at: https://urn.nsk.hr/urn:nbn:hr:127:352991

I. Ilić, M. Vodanović and 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] Available at: https://urn.nsk.hr/urn:nbn:hr:127:352991 [Accessed: 29 April 2024]

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Metadata
Title (english)Gender Estimation from Panoramic Dental X-ray Images using Deep Convolutional Networks
AuthorIvan Ilić
AuthorMarin Vodanović
AuthorMarko Subašić
Author's institution(Zagreb University Hispital Center)
Author's institutionUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Author's institutionUniversity of Zagreb
School of Dental Medicine
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Dental Medicine
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Conference abstract (invited lecture)
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Publication titleIEEE EUROCON 2019 - 18th International Conference on Smart Technologies
Numberingpp. 1-5
ISBN9781538693025
URN:NBNurn:nbn:hr:127:352991
Publication2019
ConferenceTitle: Smart Technologies. International Conference
Acronym: IEEE EUROCON
Location: Novi Sad, Serbia
Start date: 2019-07-01
End date: 2019-07-04
Assembly type: Lecture
Type of resourceText
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publishing placeNovi Sad
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) icon
Created on2023-10-23 09:04:40