{"title":"三维卷积神经网络通过颅骨计算机断层扫描估计死者的死亡年龄","authors":"Maya A. Joshi , Sean D. Tallman","doi":"10.1016/j.fri.2023.200557","DOIUrl":null,"url":null,"abstract":"<div><p>Accurate age-at-death (AAD) estimation is integral in establishing biological profiles in forensic anthropology, though standardized multivariate techniques are lacking. The current study developed and tested a three-dimensional convolutional neural network and three model variations with 1,224 de-identified cranial CT scans from the New Mexico Decedent Image Database. Each model required an input of an individual's cranial CT scan and outputted an AAD estimation. Model 3 was superior, successfully predicting AAD within 1.5 decades.</p></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"34 ","pages":"Article 200557"},"PeriodicalIF":0.8000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Three-dimensional convolutional neural network for age-at-death estimation of deceased individuals through cranial computed tomography scans\",\"authors\":\"Maya A. Joshi , Sean D. Tallman\",\"doi\":\"10.1016/j.fri.2023.200557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Accurate age-at-death (AAD) estimation is integral in establishing biological profiles in forensic anthropology, though standardized multivariate techniques are lacking. The current study developed and tested a three-dimensional convolutional neural network and three model variations with 1,224 de-identified cranial CT scans from the New Mexico Decedent Image Database. Each model required an input of an individual's cranial CT scan and outputted an AAD estimation. Model 3 was superior, successfully predicting AAD within 1.5 decades.</p></div>\",\"PeriodicalId\":40763,\"journal\":{\"name\":\"Forensic Imaging\",\"volume\":\"34 \",\"pages\":\"Article 200557\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forensic Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S266622562300026X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Imaging","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S266622562300026X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Three-dimensional convolutional neural network for age-at-death estimation of deceased individuals through cranial computed tomography scans
Accurate age-at-death (AAD) estimation is integral in establishing biological profiles in forensic anthropology, though standardized multivariate techniques are lacking. The current study developed and tested a three-dimensional convolutional neural network and three model variations with 1,224 de-identified cranial CT scans from the New Mexico Decedent Image Database. Each model required an input of an individual's cranial CT scan and outputted an AAD estimation. Model 3 was superior, successfully predicting AAD within 1.5 decades.
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