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Automated classification of microplastics from aquatic environments using image analysis and Deep Learning

https://doi.org/10.2139/ssrn.7069672
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inferredcites →https://doi.org/10.1007/s11220-025-00613-6openalex-snapshot
Sensing of Microplastics Using Advanced Materials: A Comprehensive Review
inferredcites →https://doi.org/10.1007/s11270-020-04802-9openalex-snapshot
Ingestion of Microplastic by Fish of Different Feeding Habits in Urbanized and Non-urbanized Streams in Southern Brazil
inferredcites →https://doi.org/10.1016/j.chemosphere.2016.07.083openalex-snapshot
Influence of wastewater treatment plant discharges on microplastic concentrations in surface water
inferredcites →https://doi.org/10.1016/j.envpol.2019.06.093openalex-snapshot
Spatial distribution of microplastics in sediments and surface waters of the southern North Sea
inferredcites →https://doi.org/10.1016/j.envpol.2020.113948openalex-snapshot
Microplastic pollution in deep-sea sediments and organisms of the Western Pacific Ocean
inferredcites →https://doi.org/10.1016/j.envres.2021.112232openalex-snapshot
Microplastic pollution in mountain terrains and foothills: A review on source, extraction, and distribution of microplastics in remote areas
inferredcites →https://doi.org/10.1016/j.etap.2018.10.009openalex-snapshot
Microplastic in marine organism: Environmental and toxicological effects
inferredcites →https://doi.org/10.1016/j.jwpe.2025.108343openalex-snapshot
Development of fine-tuned deep learning models for physical classification of microplastics extracted from different environmental matrices
inferredcites →https://doi.org/10.1016/j.marpolbul.2012.11.028openalex-snapshot
Occurrence of microplastics in the gastrointestinal tract of pelagic and demersal fish from the English Channel
inferredcites →https://doi.org/10.1016/j.marpolbul.2018.12.042openalex-snapshot
Microplastic contamination in surface waters in Guanabara Bay, Rio de Janeiro, Brazil
inferredcites →https://doi.org/10.1016/j.marpolbul.2021.113161openalex-snapshot
Evaluation of microplastic and marine debris on the beaches of Niterói Oceanic Region, Rio De Janeiro, Brazil
inferredcites →https://doi.org/10.1016/j.marpolbul.2023.114762openalex-snapshot
Tropical sharks feasting on and swimming through microplastics: First evidence from Malaysia
inferredcites →https://doi.org/10.1016/j.ocecoaman.2016.04.009openalex-snapshot
Microplastic pollution of the beaches of Guanabara Bay, Southeast Brazil
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.12.389openalex-snapshot
Cetaceans and microplastics: First report of microplastic ingestion by a coastal delphinid, Sousa chinensis
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.143634openalex-snapshot
Microplastics in glaciers of the Tibetan Plateau: Evidence for the long-range transport of microplastics
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.165308openalex-snapshot
Proceeding the categorization of microplastics through deep learning-based image segmentation
inferredcites →https://doi.org/10.1021/acs.est.8b05297openalex-snapshot
Are We Speaking the Same Language? Recommendations for a Definition and Categorization Framework for Plastic Debris
inferredcites →https://doi.org/10.1021/acs.estlett.3c00729openalex-snapshot
Characterization of Microplastics in Clouds over Eastern China
inferredcites →https://doi.org/10.1038/nmeth.2089openalex-snapshot
NIH Image to ImageJ: 25 years of image analysis
inferredcites →https://doi.org/10.1109/access.2020.2970498openalex-snapshot
SMACC: A System for Microplastics Automatic Counting and Classification
inferredcites →https://doi.org/10.1590/2236-9996.2015-3301openalex-snapshot
Da lama ao caos: um estuário chamado Baía de Guanabara
inferredcites →https://doi.org/10.21577/1984-6835.20180125openalex-snapshot
Microplastics: Contaminants of Global Concern in the Anthropocene
inferredcites →https://doi.org/10.3390/ani12050551openalex-snapshot
Occurrence of Microplastics in Harbour Seals (Phoca vitulina) and Grey Seals (Halichoerus grypus) from German Waters
inferredcites →https://doi.org/10.3390/diagnostics14161727openalex-snapshot
Exploring the Interplay of Dataset Size and Imbalance on CNN Performance in Healthcare: Using X-rays to Identify COVID-19 Patients
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