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An improved automated diatom detection method based on YOLOv5 framework and its preliminary study for taxonomy recognition in the forensic diatom test.
Yu, Weimin; Xiang, Qingqing; Hu, Yingchao; Du, Yukun; Kang, Xiaodong; Zheng, Dongyun; Shi, He; Xu, Quyi; Li, Zhigang; Niu, Yong; Liu, Chao; Zhao, Jian.
Afiliação
  • Yu W; Jiangsu JITRI Sioux Technologies Co., Ltd., Suzhou, China.
  • Xiang Q; School of Forensic Medicine, Kunming Medical University, Kunming, China.
  • Hu Y; LabWorld (Suzhou) Intelligent Technology Co., Ltd., Suzhou, China.
  • Du Y; School of Forensic Medicine, Southern Medical University, Guangzhou, China.
  • Kang X; Key Laboratory of Forensic Pathology, Guangzhou Forensic Science Institute, Ministry of Public Security, Guangzhou, China.
  • Zheng D; Key Laboratory of Forensic Pathology, Guangzhou Forensic Science Institute, Ministry of Public Security, Guangzhou, China.
  • Shi H; Key Laboratory of Forensic Pathology, Guangzhou Forensic Science Institute, Ministry of Public Security, Guangzhou, China.
  • Xu Q; Key Laboratory of Forensic Pathology, Guangzhou Forensic Science Institute, Ministry of Public Security, Guangzhou, China.
  • Li Z; Key Laboratory of Forensic Pathology, Guangzhou Forensic Science Institute, Ministry of Public Security, Guangzhou, China.
  • Niu Y; Section of Forensic Sciences, Department of Criminal Investigation, Ministry of Public Security, Beijing, China.
  • Liu C; Key Laboratory of Forensic Pathology, Guangzhou Forensic Science Institute, Ministry of Public Security, Guangzhou, China.
  • Zhao J; Key Laboratory of Forensic Pathology, Guangzhou Forensic Science Institute, Ministry of Public Security, Guangzhou, China.
Front Microbiol ; 13: 963059, 2022.
Article em En | MEDLINE | ID: mdl-36060761
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article