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Original research — experimental, observational, or case-control study. Direct primary evidence.
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Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams
Lecture notes in computer science
2021
3 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Ji Yeon Baek,
Maria Krishna de Guzman,
Ho-min Park,
Sanghyeon Park,
Boyeon Shin,
Tanja Ćirković Veličković,
Arnout Van Messem,
Wesley De Neve
Summary
Researchers developed a deep learning segmentation model to automatically identify and quantify microplastics in microscopic images extracted from clams, offering a faster and more consistent alternative to manual counting for assessing MP contamination in seafood.
Microplastics (MP) have become a major concern, given the threat they pose to marine-derived food and human health. One way to investigate this threat is to quantify MP found in marine organisms, for instance making use of image analysis to identify ingested MP in...