Aug 2026· Zeitschrift für Rechtsmedizin· 0 citations· 30 references
Medicine
TL;DR
Both YOLOv8 and YOLOv11 outperformed YOLOv5 across all metrics, demonstrating superior feature extraction capacity and robust convergence and indicate that next-generation YOLO architectures enable highly accurate and fully automated sex estimation from hand-wrist radiographs without the need for manual annotation or region-of-interest selection.
Sex estimation by forensic investigators can be enhanced through the use of artificial intelligence, which has shown considerable promise in the interpretation of medical images. This study introduces a novel multimodal deep learning framework that combines chest radiographic features with manually annotated anatomical...
K. Kamel, Doaa Tawfik, Nashwa Mohammed Saged et al.· Egyptian Journal of Forensic...· 0 citations
The ensemble estimated adult sex, age, height, and weight from CT-derived DRRs, with generally lower errors in examinations with broader anatomical coverage, with generally lower errors in examinations with broader anatomical coverage.
Tomohiro Kikuchi, Kohei Yamamoto, Y. Nomura et al.· arXiv.org· 0 citations
OBJECTIVE
This study evaluated the feasibility and performance of a deep learning-based multitask framework for estimating sex and age using femoral CT images in a Japanese population.
MATERIALS AND METHODS
Postmortem CT (PMCT) data from 1,489 Japanese individuals (1,003 males, 486 females) aged 20-90 years were anal...
S. Torimitsu, Hisahiro Ikari, Shigeki Tsuneya et al.· Zeitschrift für Rechtsmedizi...· 0 citations
Automated analysis of panoramic radiographs remains challenging due to anatomical complexity and image variability. While deep learning has shown strong performance in dental imaging, most studies focus on isolated tasks. This study aimed to propose a hierarchical YOLOv8-based framework aligned for comprehensive analys...
Ho-Ang Tung, Young-Seok Park, Khoa van Pham et al.· Odovtos International Journa...· 0 citations
Forensic odontology plays a crucial role in human identification, particularly in estimating age and sex in individuals without official identification documents. Although traditional methods are widely used, they have significant limitations such as population variability, observer-related errors, and low reproducibil...
Burak Çarıkçıoğlu· Turkish Journal of Forensic...· 0 citations
Objectives: The accurate quantification of hip deformities in medical images presented a significant challenge for radiologists. Inaccurate quantifications can lead to misclassification of diseases and improper treatment. This study introduced two-stage deep learning (DL) models designed for the detection of landmarks...
Mahdie Aghasizade, M. Karimpour, Masoud Shariat Panahi et al.· The Archives of Bone & Joint...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.