Now showing items 1-5 of 5

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      Accuracy Improvement for Segmentation and Classification of Wound Tissues through Region-Focus Training 

      Collection: Theses (Master's degree) - Information Technology and Digital Innovation / วิทยานิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
      Type: Thesis
      ชนก ปฐมเพทาย (Silpakorn University, 18/6/2021)
      Segmentation of chronic wound regions from an image aids in following up a wound-healing process without a wound contact. Unlike a wound tracing method, the image-based method imposes no risk of infection. This method is ...
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      Application of machine learning and mean-shift clustering for efficient liver segmentation from CT images 

      Collection: Theses (Ph.D) - Information Technology and Digital Innovation / ดุษฎีนิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
      Type: Thesis
      บุญนที ศักดิ์บุญญารัตน์ (Silpakorn University, 12/7/2019)
      Nowadays, 3D computed tomography (CT) data is commonly employed to diagnose liver cancer or to examine liver condition. This work proposes a method that can quickly find a location of the biggest CT slice of the liver. We ...
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      Color Data Augmentation through Learning Color-Mapping Parameters between Cameras 

      Collection: Theses (Master's degree) - Information Technology and Digital Innovation / วิทยานิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
      Type: Thesis
      ชนะไชย พุทธรักษา (Silpakorn University, 12/7/2019)
      In order to achieve a more accurate deep learning model, we need large amount of data. For imaging application, color data augmentation is usually required. Color jittering is a common current practice for such augmentation ...
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      Locating the eye's pupil center through deep learning using multiscale and non-linearity convolutional regression 

      Collection: Theses (Master's degree) - Information Technology and Digital Innovation / วิทยานิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
      Type: Thesis
      พิชชาภา เลิศศิรวรเมธ (Silpakorn University, 2/7/2021)
      Pupil detection has been of wide interest as it can be utilized in numerous applications, such as human-computer interaction and medical diagnosis. However, the recently proposed methods to locate the pupil rely on laboratory ...
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      Wound-Region Segmentation from Image by Using Deep Learning and Various Data Augmentation Methods 

      Collection: Theses (Master's degree) - Information Technology and Digital Innovation / วิทยานิพนธ์ - เทคโนโลยีสารสนเทศและนวัตกรรมดิจิทัล
      Type: Thesis
      นันทิพัฒน์ พลบดี (Silpakorn University, 12/7/2019)
      Chronic wound segmentation is an essential task for evaluating wound and its healing progress. However,  accuracy of wound size measurement depends on expertise of the measurer. The measurement result may be significantly ...


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