AIMC Topic: Wounds, Stab

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A proposal for cut marks classification using machine learning: Serrated vs. non-serrated, single vs. double-beveled knives.

Journal of forensic sciences Jul 25, 2024
In tool mark identification, there is still a lack of characteristics and methodologies standardization used to analyze and describe sharp force trauma marks on skeletal remains. This study presents a classification method for cut marks on human bone...
Machine Learning Ribs Animals Swine Logistic Models Equipment Design Microscopy Models, Animal Weapons Wounds, Stab
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Explainable AI for sharp injury identification using transfer learning with pre-trained deep neural networks.

Forensic science international Jun 1, 2025
OBJECTIVE: To investigate an AI-based method for automatically identifying and classifying sharp injuries using deep learning models, evaluate its effectiveness (e.g., accuracy and explainability), and support forensic injury classification.
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Photography Wounds, Stab
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