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Visualization of Biological Images

 

Summary:


Both visualization and mathematical computations were used to study, measure, and understand phenomena tracked through image data. We are working on image analysis in several different fields.

In medical image analysis, we are working with CT lung data containing lung tumors. Projects include new methods to measure lung tumor size change and the creation of reference data sets for lung tumor size change measurements.

Biological cell image analysis projects include methods to measure cell segmentation accuracy and new segmentation methods to track live cells.

 

To see more images and video, see the Multimedia Page for this project.

 

Publications:

 


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41 slices of the Cornell data set SL0059: an isosurface at -300 Hounsfield units.

41 slices of the Cornell data set SL0059: an isosurface at -300 Hounsfield units.

Sub-Projects:


Additional Project Information:


Staff:

  • Adele Peskin
  • Marc Olano
  • Marlene Hildebrand-Ehrhardt
  • Group Leader: Judith E. Terrill

 

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