Vein pattern visualization for CSAM investigation using deep learning

IF 0.8 4区医学 Q4 MEDICINE, LEGAL

Australian Journal of Forensic Sciences Pub Date : 2024-04-28 DOI:10.1080/00450618.2024.2324774

Hamid Sharifzadeh, Ali Keivanmarz, Soheil Pour, Iman Ardekani

引用次数: 0

Abstract

Child sexual abuse material (CSAM) has become one of the fastest-growing criminal industries linked to other illegal activities, such as human trafficking, underage prostitution, and the sextortion...

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利用深度学习实现静脉模式可视化，用于 CSAM 调查

儿童性虐待材料（CSAM）已成为增长最快的犯罪产业之一，它与其他非法活动（如贩卖人口、未成年卖淫和色情勒索）相关联。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Australian Journal of Forensic Sciences MEDICINE, LEGAL-

CiteScore

3.20

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： The Australian Journal of Forensic Sciences is the official publication of the Australian Academy of Forensic Sciences and helps the Academy meet its Objects. The Academy invites submission of review articles, research papers, commentaries, book reviews and correspondence relevant to Objects of the Academy. The Editorial policy is to attempt to represent the law, medicine and science and to promote active discussions of the relevant issues of the time as they affect the professional practice of the forensic sciences. The Journal is not restricted to contributions only from Australian authors but it will attempt to represent issues of particular relevance to Australia and its region. The meetings of the Academy normally include a plenary presentation and the Journal will seek to publish these presentations where appropriate.