Reducing Manual Labour in Forensic Microtrace Recognition with Deep Learning
Gerben Rijpkema, Dylan Kalisvaart, Serafim Korovin, Daniel Spengler, Anna Pals, Jaap van der Weerd, Carlas Smith
This paper develops a deep learning model to automate microtrace recognition in forensic microscopy, reducing manual annotation needs by 65% through combined pretraining strategies.
Forensic Science International · Dec 2, 2025Peer-reviewedBioinformatics