HIGHLIGHTS
- who: Muhammed Yildirim and collaborators from the Department of Computer Engineering, Malatya Turgut Ozal University, Malatya, Turkey have published the research: Automatic Classification of Particles in the Urine Sediment Test with the Developed Artificial Intelligence-Based Hybrid Model, in the Journal: Diagnostics
- what: The authors aimed to extract different features of the same image. To compare the performance of the model proposed in the study results were also obtained from different architectures. During the experiments, a data set containing 429,605 urine 3 of 16 sediment images with 16 classes was used. The contributions and . . .
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