prikaz prve stranice dokumenta Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study
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Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study
Croatian medical journal, 60 (2019), 3; 237-245. https://doi.org/10.3325/cmj.2019.60.237
Bedalov, Ana; Bašić, Željana; Marelja, Ivan; Dolić, Krešimir; Bukarica, Krešimir; Missoni, Saša; Šlaus, Mario; Primorac, Dragan; Andjelinović, Šimun; Kružić, Ivana

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Bedalov, A., Bašić, Ž., Marelja, I., Dolić, K., Bukarica, K., Missoni, S. ... Kružić, I. (2019). Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study. Croatian medical journal, 60. (3), 237-245. doi: 10.3325/cmj.2019.60.237

Bedalov, Ana, et al. "Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study." Croatian medical journal, vol. 60, br. 3, 2019, str. 237-245. https://doi.org/10.3325/cmj.2019.60.237

Bedalov, Ana, Željana Bašić, Ivan Marelja, Krešimir Dolić, Krešimir Bukarica, Saša Missoni, Mario Šlaus, Dragan Primorac, Šimun Andjelinović i Ivana Kružić. "Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study." Croatian medical journal 60, br. 3 (2019): 237-245. https://doi.org/10.3325/cmj.2019.60.237

Bedalov, A., et al. (2019) 'Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study', Croatian medical journal, 60(3), str. 237-245. doi: 10.3325/cmj.2019.60.237

Bedalov A, Bašić Ž, Marelja I, Dolić K, Bukarica K, Missoni S, i sur.. Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study. Croatian medical journal [Internet]. 2019. [pristupljeno 13.11.2024.];60(3):237-245. doi: 10.3325/cmj.2019.60.237

A. Bedalov, et al., "Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study", Croatian medical journal, vol. 60, br. 3, str. 237-245, 2019. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:819248. [Citirano: 13.11.2024.]

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Podaci o radu
Naslov (engleski)Sex estimation of the sternum by automatic image processing of multi-slice computed tomography images in a Croatian population sample: a retrospective study
AutorAna Bedalov
AutorŽeljana Bašić
MBZ: 329586
AutorIvan Marelja
AutorKrešimir Dolić
MBZ: 345244
AutorKrešimir Bukarica
AutorSaša Missoni
MBZ: 252184
AutorMario Šlaus
MBZ: 189976
AutorDragan Primorac
MBZ: 212641
AutorŠimun Andjelinović
AutorIvana Kružić
MBZ: 319324
Autorova ustanovaSveučilište u Rijeci
Medicinski fakultet
(Katedra za medicinsku biologiju i genetiku)
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Sažetak (engleski)
Aim To determine the sexual dimorphism of the sternum with standard measurements in a contemporary Croatian population sample using multi-slice computed tomography (MSCT) and to compare the data obtained by an automatic with those obtained by a manual approach. Methods Five sternal measurements were obtained from MSCT images of 73 men and 55 women and three sternal indices were calculated. Custom image analysis software was developed for automatic segmentation and calculation of sternal measurements. Measurements of sexual dimorphism were automatically calculated and compared with manual measurements. Results All of the sternal measurements exhibited significant differences between men and women. The discrepancies between manual and automatic measurements ranged from 2.8% to 3.6% of the mean average values obtained with the automatic approach. The most accurate single-variable discriminant function was sternal body length (82.8%), the most accurate index was sternal area (89.1%), and the discriminant function using three variables was manubrium width, sternal body length, and sternal body width (90.6%). Conclusion Sternal measurements are a reliable sex indicator and can be used in forensic casework. Computer-aided measurement methods can accelerate sex estimation and improve its precision and accuracy.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaCroatian medical journal
Brojčani podacivol. 60, br. 3, str. 237-245
p-ISSN0353-9504
DOIhttps://doi.org/10.3325/cmj.2019.60.237
URN:NBNurn:nbn:hr:184:819248
Datum objave publikacije2019
URL dokumentahttp://bib.irb.hr/1006813
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje-Nekomercijalno-Bez prerada 4.0 međunarodna (CC BY-NC-ND 4.0)
Datum i vrijeme pohrane2022-03-08 15:26:48