An improved automated diatom detection method based on yolov5 framework and its preliminary study for taxonomy recognition in the forensic diatom test

HIGHLIGHTS

  • who: Yong Niu et al. from the Northeastern University, China have published the research work: An improved automated diatom detection method based on YOLOv5 framework and its preliminary study for taxonomy recognition in the forensic diatom test, in the Journal: (JOURNAL)
  • what: The authors assess the performance of the trained AI models on the given liver and kidney samples via cross-validation and demonstrate the efficiency of the solution in the general cases of drowning forensic diatom test. Hereby, the authors propose a more elaborate definition of the precision-recall curve that is based on . . .

     

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