Artificial intelligence for human gunshot wound classification

Artificial intelligence for human gunshot wound classification

Certain features are helpful in the identification of gunshot entrance and exit wounds, such as the presence of muzzle imprints, peripheral tears, stippling, bone beveling, and wound border irregularity. Some cases are less straightforward and wounds can thus pose challenges to an emergency room doc...

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Bibliographic Details
Main Authors: Jerome Cheng, Carl Schmidt, Allecia Wilson, Zixi Wang, Wei Hao, Joshua Pantanowitz, Catherine Morris, Randy Tashjian, Liron Pantanowitz
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Pathology Informatics
Subjects:
Artificial intelligence
Deep learning
Convolutional neural network
Human gunshot wound
Online Access:http://www.sciencedirect.com/science/article/pii/S215335392300175X

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http://www.sciencedirect.com/science/article/pii/S215335392300175X

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