Agung Sosiawan, - and Dian Agustin Wahjuningrum, - and Arofi Kurniawan, - and Justiawan, - and Rafina Destiarti Ainul, - and An’nisaa Chusida, - and Aspalilah Alias, - (2021) Gender Identification Using Mandibular Morphometric Parameters and PCA-NN Classifier Algorithm on Panoramic Radiographs. Fakultas Kedokteran Gigi Universitas Airlangga.

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Abstract

Gender identification is urgently required to reveal the deceased person’s identity in several proximity conditions such as disasters, accidents, and violence. The mandible bone has been explored in the field of forensic odontology for the human gender identification. Dental panoramic radiography has become one of the routine procedures at medical hospitals as part of primary investigations. Untuk kepentingan submit jurna F1000 research

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