Search Results - "Aonpong, Panyanat"

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  1. 1

    Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer by Aonpong, Panyanat, Iwamoto, Yutaro, Han, Xian-Hua, Lin, Lanfen, Chen, Yen-Wei

    Published in IEEE access (2021)
    “…Non-small cell lung cancer (NSCLC) is a serious disease and has a high recurrence rate after surgery. Recently, many machine learning methods have been…”
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    Journal Article
  2. 2

    Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma by Wang, Weibin, Chen, Qingqing, Iwamoto, Yutaro, Aonpong, Panyanat, Lin, Lanfen, Hu, Hongjie, Zhang, Qiaowei, Chen, Yen-Wei

    Published in IEEE access (2020)
    “…Post-operative early recurrence (ER) of hepatocellular carcinoma (HCC) is one of the leading causes of death. The prediction of the ER of HCC before treatment…”
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    Journal Article
  3. 3

    The Random forest approach for land cover mapping by Aonpong, Panyanat, Kasetkasem, Teerasit, Rakwatin, Preesan, Kumazawa, Itsuo, Chanwimaluang, Thitiporn

    “…In this paper, we proposed a new random forest algorithm designed specifically for the land cover mapping problem. Three approaches are investigated, namely,…”
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    Conference Proceeding
  4. 4

    Automated Face Selection and Censoring on Image and Video using Artificial Intelligent by Thipbumrung, Ratchai, Aonpong, Panyanat

    “…The Personal Data Protection Act (PDPA) was created to prevent the breach of personal information of users of computer systems without the data owner's…”
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    Conference Proceeding
  5. 5

    Maximizing Efficiency in Marketing Planning: Artificial Neural Network Regression and Data Imputation for Improving Business Forecasting by Aonpong, Panyanat, Thipbumrung, Ratchai, Muangon, Weenawadee, Wongtaweesap, Opas

    “…Marketing planning plays an important role in the success of any business in general. The ability to predict future earnings tends to allow us to make…”
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    Conference Proceeding
  6. 6

    Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer by Aonpong, Panyanat, Iwamoto, Yutaro, Han, Xian-Hua, Lin, Lanfen, Chen, Yen-Wei

    “…Non-small cell lung cancer (NSCLC) is a type of lung cancer that has a high recurrence rate after surgery. Precise prediction of preoperative prognosis for…”
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    Conference Proceeding Journal Article
  7. 7

    Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer by Ai, Yang, Aonpong, Panyanat, Wang, Weibin, Li, Yinhao, Iwamoto, Yutaro, Han, Xianhua, Chen, Yen-Wei

    “…Non-small cell lung cancer (NSCLC) is a malignant tumor with high morbidity and mortality, with a high recurrence rate after surgery, which directly affects…”
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    Conference Proceeding
  8. 8

    Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer by Aonpong, Panyanat, Iwamoto, Yutaro, Han, Xian-Hua, Lin, Lanfen, Chen, Yen-Wei

    Published 29-04-2021
    “…Non-small cell lung cancer (NSCLC) is a serious disease and has a high recurrence rate after the surgery. Recently, many machine learning methods have been…”
    Get full text
    Journal Article
  9. 9

    Combining a random forest algorithm and a level set method for land cover mapping by Aonpong, Panyanat, Kasetkasem, Teerasit, Kumazawa, Itsuo, Rakwatin, Preesan, Chanwimaluang, Thitiporn

    “…In this paper, we introduce a new land cover mapping technique by taking advantages of a weighted random forest [1] and the level set method [2] to remove the…”
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    Conference Proceeding