Deep Learning Approach for Species Identification of Forensically Important Sarcophagid flies (Diptera: Sarcophagidae) in China

species in the coastal Shandong Peninsula, characterizes their regional distribution patterns, and offers a scalable image-based identification approach for forensically important sarcophagid flies.

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Publication Details

Journal
Insects
Published
2026-04-01
DOI
https://doi.org/10.3390/insects17040374
Primary Topic
Forensic Entomology and Diptera Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Deep Learning Approach for Species Identification of Forensically Important Sarcophagid flies (Diptera: Sarcophagidae) in China

Sen Hou, Shuguang Zhang, X Li, Jinliang Du et al.
Insects
Forensic Entomology and Diptera Studies
article

Deep Learning Approach for Species Identification of Forensically Important Sarcophagid flies (Diptera: Sarcophagidae) in China

Sen Hou, Shuguang Zhang, X Li, Jinliang Du, Jianxia Li, Wen Cui, Futeng Jiang, Xinyi Yao, Jiali Su, Yequan Wang
article en

Abstract

species in the coastal Shandong Peninsula, characterizes their regional distribution patterns, and offers a scalable image-based identification approach for forensically important sarcophagid flies.

InsectsVol. 17(4)
Central South University (CN), Nankai University (CN), Institute of Forensic Science (CN), Inner Mongolia Medical University (CN), Jining Medical University (CN)
Natural Science Foundation of Inner Mongolia
Life below water
Openalex Percentile: Top 32%
Forensic Entomology and Diptera Studies
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