Author

Chollanot Kaset

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Open access Sep 2026

Machine learning with SMOTE-NC on routine hematology parameters for early identification of Hb E trait

Background: The hemoglobin E (Hb E) trait, which is highly prevalent in Southeast Asia and may co-occur with α-thalassemia, often exhibits heterogeneous complete blood count profiles; notably, some individuals with the Hb E trait have near-normal MCV and MCH values, increasing the risk of misclassification during routi...

Chollanot Kaset, Tanita Rerkchalerm, Tanatorn Tanantong et al. · Journal of Associated Medica... · 0 citations

Open access Oct 2026

Cloud-deployable deep learning for smartphone-based body fluid cytology: a multi-architecture evaluation of YOLO and RT-DETR models

Accurate cytological evaluation of body fluid specimens is essential for diagnosing inflammatory and malignant conditions, yet manual interpretation remains labor-intensive and subject to inter-observer variability. This study developed and deployed a smartphone-based deep learning framework for multi-class body flui...

Sirinart Chomean, Noppmats Khemtonglang, E. Mukda et al. · Scientific Reports · 0 citations

Open access Jul 2026

Deep Learning-Based Multi-Class Body Fluid Cell Type Classification: A Comparative Evaluation of Image Enhancement Techniques

Class-wise results showed strong performance for distinct cell types, while macrophages, monocytes, and lymphocytes remained challenging, and selected enhancement techniques offer modest improvements, but effectiveness depends on model architecture and data characteristics.

Tanatorn Tanantong, Kanyarat Kanchanaphayak, Nittaya Chemkomnerd et al. · BioMedInformatics · 0 citations