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  1. NLST Data Requests
  2. NDR-136

NLST-237 Request for Pathology imaging

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      Principal Investigator
      Name
      Li Sulimowicz
      Degrees
      PhD
      Institution
      University of Texas at Arlington
      Position Title
      Phd student in Computer Science
      Email
      li.yin@mavs.uta.edu
      Project Information
      Study
      NLST
      Project ID
      NLST-237
      Title
      Regions-of-Interest Detection in big histopathological images
      Summary
      Although the ROI detection is just a preprocessing step for other CAD applications, due to the sheer volume and size of the whole slide images, the ROI detection is still a very difficult problem in such field. This project includes a new superpixel-driven segmentation algorithm to do segmentation on big images over 30000*30000 pixels in just several seconds. Also, it will research the parallel processing of multiple images. Thirdly, it will encompass features extraction and classification.

      Aims
      This projects aims to do ROI detection of the whole slide images fast and accurately.

      Collaborators
      Ishfaq Ahmad, Professor at University of Texas at Arlington.

            tracyn T Nolan
            tracyn T Nolan
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              Updated:
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