ผศ.ดร.เถกิง วงศ์ศิริโชติ
Asst. Prof. Dr.THAKERNG WONGSIRICHOT
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Education
- 2018 ปร.ด. (วิทยาการคอมพิวเตอร์) สถาบันเทคโนโลยีพระจอมเกล้าเจ้าคุณทหารลาดกระบัง, Thailand
Publication
- Thakerng Wongsirichot. 2021. "TISSUE CLASSIFICATION FOR COLORECTAL CANCER UTILIZING TECHNIQUES OF DEEP LEARNING AND MACHINE LEARNING". BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 33 (3 Article Number: 2150022) : 1-11
- Thakerng Wongsirichot. 2022. "A Mobile Computer-Aided Diagnosis of Neonatal Hyperbilirubinemia using Digital Image Processing and Machine Learning Techniques". International Journal of Innovative Research and Scientific Studies, 5 (1) : 10-17
- Thakerng Wongsirichot. 2023. "An Optimal Deep Learning Approach to BCa Tissue Detection using Case Studies". ECTI Transactions on Computer and Information Technology, 17 (1) : 60-72
- Thakerng Wongsirichot. 2023. "Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation". JMIR Formative Research, 7 (Article number : e42324) : 1-16
- Thakerng Wongsirichot. 2023. "A NEW COMPUTER-AIDED DIAGNOSIS OF PRECISE MALARIA PARASITE DETECTION IN MICROSCOPIC IMAGES USING A DECISION TREE MODEL WITH SELECTIVE OPTIMAL FEATURES". Biomedical Engineering: Applications, Basis and Communications, 2023 (Article number : 2350004) : 1-12
- Thakerng Wongsirichot. 2023. "MSTAC: A Multi-Stage Automated Classification of COVID-19 Chest X-ray Images Using Stacked CNN Models". Tomography, 9 (6) : 2233-2246
- Thakerng Wongsirichot. 2023. "Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architectures". PeerJ Computer Science, 9 (Article number : e1767) : 1-29
- Thakerng Wongsirichot. 2024. "DeepVAQ: an adaptive deep learning for prediction of vascular access quality in hemodialysis patients". BMC Medical Informatics and Decision Making, 24 (45) : 1-11
- Thakerng Wongsirichot. 2024. "Improving accuracy of vascular access quality classification in hemodialysis patients using deep learning with K highest score feature selection". Journal of International Medical Research, 52 (4) : 1-15
Interest
