Search Results - "Win, Khin Yadanar"

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  1. 1

    Deep Learning for Optic Disc Segmentation and Glaucoma Diagnosis on Retinal Images by Sreng, Syna, Maneerat, Noppadol, Hamamoto, Kazuhiko, Win, Khin Yadanar

    Published in Applied sciences (01-07-2020)
    “…Glaucoma is a major global cause of blindness. As the symptoms of glaucoma appear, when the disease reaches an advanced stage, proper screening of glaucoma in…”
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    Journal Article
  2. 2

    Ensemble Deep Learning for the Detection of COVID-19 in Unbalanced Chest X-ray Dataset by Win, Khin Yadanar, Maneerat, Noppadol, Sreng, Syna, Hamamoto, Kazuhiko

    Published in Applied sciences (01-11-2021)
    “…The ongoing COVID-19 pandemic has caused devastating effects on humanity worldwide. With practical advantages and wide accessibility, chest X-rays (CXRs) play…”
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    Journal Article
  3. 3

    Detection and Classification of Overlapping Cell Nuclei in Cytology Effusion Images Using a Double-Strategy Random Forest by Win, Khin, Choomchuay, Somsak, Hamamoto, Kazuhiko, Raveesunthornkiat, Manasanan

    Published in Applied sciences (01-09-2018)
    “…Due to the close resemblance between overlapping and cancerous nuclei, the misinterpretation of overlapping nuclei can affect the final decision of cancer cell…”
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    Journal Article
  4. 4

    Computer Aided Diagnosis System for Detection of Cancer Cells on Cytological Pleural Effusion Images by Rangsirattanakul, Likit, Raveesunthornkiat, Manasanan, Hamamoto, K., Choomchuay, Somsak, Win, Khin Yadanar, Pongsawat, Suriya

    Published in BioMed research international (01-01-2018)
    “…Cytological screening plays a vital role in the diagnosis of cancer from the microscope slides of pleural effusion specimens. However, this manual screening…”
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    Journal Article
  5. 5

    Hybrid Learning of Hand-Crafted and Deep-Activated Features Using Particle Swarm Optimization and Optimized Support Vector Machine for Tuberculosis Screening by Win, Khin Yadanar, Maneerat, Noppadol, Hamamoto, Kazuhiko, Sreng, Syna

    Published in Applied sciences (01-09-2020)
    “…Tuberculosis (TB) is a leading infectious killer, especially for people with Human Immunodeficiency Virus (HIV) and Acquired Immunodeficiency Syndrome (AIDS)…”
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    Journal Article
  6. 6

    Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images by Raveesunthornkiat, Manasanan, Hamamoto, K., Choomchuay, Somsak, Win, Khin Yadanar

    Published in Journal of healthcare engineering (01-01-2018)
    “…Automated cell nuclei segmentation is the most crucial step toward the implementation of a computer-aided diagnosis system for cancer cells. Studies on the…”
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    Journal Article
  7. 7

    Automated segmentation of cell nuclei in cytology pleural fluid images using OTSU thresholding by Win, Khin Yadanar, Choomchuay, Somsak

    “…The automated segmentation of cell nuclei is critical for diagnosis and classification of cancers in pleural fluid. This task is very essential since the…”
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    Conference Proceeding
  8. 8

    Automated detection of exudates using histogram analysis for Digital Retinal Images by Win, Khin Yadanar, Choomchuay, Somsak

    “…Diabetic retinopathy is one of the serious vision-threating diabetes complications which can even lead to blindness if not diagnosed and cured at the early…”
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    Conference Proceeding
  9. 9

    K mean clustering based automated segmentation of overlapping cell nuclei in pleural effusion cytology images by Win, Khin Yadanar, Choomchuay, Somsak, Hamamoto, Kazuhiko

    “…Automated segmentation of cell nuclei is crucial for the early diagnosis of cancer as the characteristics of the cell nuclei are mainly associated with the…”
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    Conference Proceeding
  10. 10

    Brain tumor detection based on Naïve Bayes Classification by Zaw, Hein Tun, Maneerat, Noppadol, Win, Khin Yadanar

    “…Brain cancer is caused by the population of abnormal cells called glial cells that takes place in the brain. Over the years, the number of patients who have…”
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    Conference Proceeding
  11. 11

    Artificial neural network based nuclei segmentation on cytology pleural effusion images by Win, Khin Yadanar, Choomchuay, Somsak, Hamamoto, Kazuhiko, Raveesunthornkiat, Manasanan

    “…Automated segmentation of cell nuclei is the crucial step towards computer-aided diagnosis system because the morphological features of the cell nuclei are…”
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    Conference Proceeding
  12. 12

    Suitable Supervised Machine Learning Techniques For Malignant Mesothelioma Diagnosis by Win, Khin Yadanar, Maneerat, Noppadol, Choomchuay, Somsak, Sreng, Syna, HAMAMOTO, Kazuhiko

    “…Malignant Mesothelioma (MM) is a rare, aggressive cancer that grows in the lining of the internal organs such as lung, abdomen or heart. Fousing on MM…”
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    Conference Proceeding
  13. 13

    Classification of Cotton Wool Spots Using Principal Components Analysis and Support Vector Machine by Sreng, Syna, Maneerat, Noppadol, Win, Khin Yadanar, Hamamoto, Kazuhiko, Panjaphongse, Ronakorn

    “…Diabetic retinopathy is a complication of the eye damage and can lead to being blindness if it is late for treatment. Microaneurysms, exudates, hemorrhages and…”
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    Conference Proceeding