Determination of Gender from Pelvic Bones and Patella in Forensic Anthropology: A Comparison of Classification Techniques

Afrianty, Iis; Nasien, Dewi; Kadir, Mohammed Rafiq Abdul; Haron, Habibollah

doi:10.1109/aims.2013.9

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…Determining gender in skeletal remains is a fundamental issue in anthropological and forensic research [17]. There are different characteristics in the size and proportion of different populations that can affect the gender evaluation [18].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of sacral bone parameters in Sex determination by three – dimensional CT images

Ali

Soltani

Motamedi

et al. 2022

ijhs

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Introduction: Gender determination in forensic medicine plays an important role in determining the identity which is very important for both the present time and in the future. (Aim)Background: To improve sex determination using skeletal remains, morphometrical study of some bones can be helpful. The aim of this study is to assess the application of five parameters of sacral bone by means of Three – Dimensional (3D) images reconstructed by multi-slice Computed Tomography (CT) in sex determination of Iranian individuals. Materials and Methods: This cross-sectional study was conducted on one hundred of Iranian people with equal number of men and women who have undergone Pelvic CT in radiology department of Hazrat Rasoul-Akram Hospital were included. Five anthropometric indices including S1 Perimeter, S1 Area, Anterior-posterior diameter (APD), Maximum transverse diameter (MTD) and Maximum breadth of sacral alae (MBA) of their sacral bone were measured using computed tomography (CT) three dimensional images with an accuracy of 0.01º and 0.01 mm and then the association of the measurements with the gender of individuals was studied. Conclusion: No significant difference was observed between two gender groups in terms of age (P=0.678).

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Section: Discussionmentioning

confidence: 99%

Evaluation of sacral bone parameters in Sex determination by three – dimensional CT images

Ali

Soltani

Motamedi

et al. 2022

ijhs

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“…Sex determination of the adult individuals was performed on the basis of the morphological features of the skull and pelvis (Buikstra & Ubelaker, 1994;Ferembach, Schwidetzky, & Stloukal, 1980); if a few characters of the skull and pelvis were observable, metrical data obtained from postcranial bones were used when possible (Afrianty, 2013;Berrizbeitia, 1989;Krogman & Iscan, 1986;Silva, 1995).…”

Section: Methodsmentioning

confidence: 99%

Dental health in adults and subadults from the 16th-century plague cemetery of Alghero (Sardinia, Italy)

Giuffra

Milanese

Minozzi

2020

Archives of Oral Biology

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“…Forensic anthropology utilizes principles and techniques from physical anthropology to analyze human remains in the context of legal investigations and forensic education [2]. One of the implementations of forensic anthropology that is often used is the implementation of finding the biological profile of the shards of human's skeleton [3], [4]. And the determination of sex is the first step in deciding the biological profile of a human [5].…”

Section: Introductionmentioning

confidence: 99%

Convolutional Neural Network Model for Sex Determination Using Femur Bones

Nasien,

Adiya,

Afrianty

et al. 2023

JOIV : Int. J. Inform. Visualization

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Forensic anthropology is the critical discipline that applies physical anthropology in forensic education. One valuable application is the identification of the biological profile. However, in the aftermath of significant disasters, the identification of human skeletons becomes challenging due to their incompleteness and difficulty determining sex. Researchers have explored alternative indicators to address this issue, including using the femur bone as a reliable sex identifier. The development of artificial intelligence has created a new field called deep learning that has excelled in various applications, including sex determination using the femur bone. In this study, we employ the Convolutional Neural Network (CNN) method to identify the sex of human skeleton shards. A CNN model was trained on 91 CT-scan results of femur bones collected from Universiti Teknologi Malaysia, comprising 50 female and 41 male patients. The data pre-processing involves cropping, and the dataset is divided into training and validation subsets with varying percentages (60:4, 70:30, and 80:20). The constructed CNN architecture exhibits exceptional accuracy, achieving 100% accuracy in both training and validation data. Moreover, the precision, recall, and F1 score attained a perfect score of 1, validating the model's precise predictions. The results of this research demonstrate excellent accuracy, confirming the reliability of the developed model for sex determination. These findings demonstrate that using deep learning for sex determination is a novel and promising approach. The high accuracy of the CNN model provides a valuable tool for sex determination in challenging scenarios. This could have important implications for forensic investigations and help identify victims of disasters and other crimes.

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Determination of Gender from Pelvic Bones and Patella in Forensic Anthropology: A Comparison of Classification Techniques

Cited by 8 publications

References 26 publications

Evaluation of sacral bone parameters in Sex determination by three – dimensional CT images

Evaluation of sacral bone parameters in Sex determination by three – dimensional CT images

Dental health in adults and subadults from the 16th-century plague cemetery of Alghero (Sardinia, Italy)

Convolutional Neural Network Model for Sex Determination Using Femur Bones

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