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Cancer CAD is a medical imaging tool to help doctors and patients understand the three-dimensional characteristics of tumors, using only two-dimensional tumor data (magnetic resonance images).
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BrainFolder
Main.py
README.md
_config.yml
autoCAD.py
cancerCAD.py
designFeedback.txt
drawingBlobs.py
stlConverter.py
timeSheet.txt
tumorDetector.py

README.md

Cancer CAD - A Carnegie Mellon University 15-112 Term Project

Cancer CAD is a medical imaging tool to help doctors and patients understand the three-dimensional characteristics of tumors, using only two-dimensional tumor data (magnetic resonance images).

  • Author: Dean Dijour
  • Mentor: Lukas Peraza
  • Instructors: David Kosbie & David Andersen

Dependencies

Running Cancer CAD

Download the project as a ZIP file. Run the "Main.py" file, and select a directory for the MRI JPGs (sample images have been provided in this repository, in "Brain Folder").

Video

https://www.youtube.com/watch?v=0hiCee2oHiY

Features

  • High-precision manual two-dimensional tumor selection: drawing a blob finished drawing a blob
  • True-to-shape 3D modeling capabilities, as well as 3D printing functionality: 3d working
  • Automatic two-dimensional tumor detection via OpenCV "blob detector": 2017-05-01 13_08_47-keypoints
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