Microscopic detection of nematodes in entomopathogenic nematode-enriched samples using a lightweight deep learning model.

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Bibliographic Details
Title: Microscopic detection of nematodes in entomopathogenic nematode-enriched samples using a lightweight deep learning model.
Authors: Erdinç A; Department of Biosystems Engineering, Bursa Uludağ University, Bursa, Türkiye., Erdoğan H; Department of Biosystems Engineering, Bursa Uludağ University, Bursa, Türkiye. Electronic address: hilalerdogan@uludag.edu.tr.
Source: Journal of invertebrate pathology [J Invertebr Pathol] 2026 Jul; Vol. 217, pp. 108594. Date of Electronic Publication: 2026 Mar 06.
Publication Type: Journal Article
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 0014067 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0805 (Electronic) Linking ISSN: 00222011 NLM ISO Abbreviation: J Invertebr Pathol Subsets: MEDLINE
Database: MEDLINE Ultimate
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