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
Student dropout rates in higher education have become a significant problem for universities worldwide, impacting both student academic achievement and institutional stability. To address this problem, this research proposes the Student Dropout Risk Prediction and Early Warning System (SDRP-EWS), a machine learning fra...
Kritanat Chungnoy, Tanatorn Tanantong, Naphat Jakkraphatcharakul et al.· Asian Health, Science and Te...· 0 citations
Accurate classification of cells from body fluid specimens can support cytological analysis, but microscopic images often present challenges such as low contrast, unclear boundaries, staining variation, class imbalance, and overlapping morphology. This study evaluated the impact of image enhancement techniques on deep...
