Forensic Identification from Skull Images

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Sevinç Ö.

American Acedemy of Forensic Sciences 75 Anniversry, Florida, United States Of America, 23 February - 25 July 2023, pp.119

  • Publication Type: Conference Paper / Summary Text
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.119
  • Ondokuz Mayıs University Affiliated: Yes


The number of people in the United States who die without a name is increasing.1 Many of these decedents are indigent and homeless. Others have met with violence or a mass fatality natural event. Decomposed or skeletal decedents received by medical examiner/coroner offices without an associated name are typically the most difficult identification cases, especially if there is no family reference sample in Combined DNA Index System (CODIS). Standard radiographic or dental identification methods are useful in these cases, but they require a tentative name to find comparison records. Although radiographic surveys and CT scans are commonly performed as diagnostic tools, especially in emergency departments, the records cannot be accessed without an identifying name and date of birth.2 Recent advances in Artificial Intelligence (AI) methods and tools are available to support the implementation of deep learning algorithms for a novel identification software model.