Deep Neural Networks-Based Age Estimation of Cadavers Using CT Imaging of Vertebrae

Hiroki Kondou (), Rina Morohashi, Hiroaki Ichioka, Risa Bandou, Ryota Matsunari, Masataka Kawamoto, Nozomi Idota, Deng Ting, Satoko Kimura and Hiroshi Ikegaya
Additional contact information
Hiroki Kondou: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan
Rina Morohashi: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan
Hiroaki Ichioka: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan
Risa Bandou: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan
Ryota Matsunari: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan
Masataka Kawamoto: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan
Nozomi Idota: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan
Deng Ting: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan
Satoko Kimura: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan
Hiroshi Ikegaya: Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, 465 Kajiicho, Kawaramachi-dori Hirokoji-agaru, Kamigyo-ku, Kyoto 602-8566, Japan

IJERPH, 2023, vol. 20, issue 6, 1-9

Abstract: Although age estimation upon death is important in the identification of unknown cadavers for forensic scientists, to the best of our knowledge, no study has examined the utility of deep neural network (DNN) models for age estimation among cadavers. We performed a postmortem computed tomography (CT) examination of 1000 and 500 male and female cadavers, respectively. These CT slices were converted into 3-dimensional images, and only the thoracolumbar region was extracted. Eighty percent of them were categorized as training datasets and the others as test datasets for both sexes. We fine-tuned the ResNet152 models using the training datasets. We conducted 4-fold cross-validation, and the mean absolute error (MAE) of the test datasets was calculated using the ensemble learning of four ResNet152 models. Consequently, the MAE of the male and female models was 7.25 and 7.16, respectively. Our study shows that DNN models can be useful tools in the field of forensic medicine.

Keywords: forensic medicine; age estimation; postmortem computed tomography; deep neural network; artificial intelligence (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/20/6/4806/pdf (application/pdf)
https://www.mdpi.com/1660-4601/20/6/4806/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:20:y:2023:i:6:p:4806-:d:1091905

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().