image processing and machine learning for healthcare
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Image Processing and Machine Learning for Healthcare Applications Chandra Sekhar Seelamantula Assistant Professor Department of Electrical Engineering Indian Institute of Science Bangalore Email: chandra.sekhar@ieee.org December 19, 2011

  1. Image Processing and Machine Learning for Healthcare Applications Chandra Sekhar Seelamantula Assistant Professor Department of Electrical Engineering Indian Institute of Science Bangalore Email: chandra.sekhar@ieee.org December 19, 2011

  2. Outline Medical image segmentation Image processing to enable diagnostics Content-based medical image retrieval

  3. Biological image segmentation

  4. Biological image segmentation

  5. Image analysis for diabetic retinopathy

  6. Medical image segmentation

  7. Image processing for clinical diagnostics (Retinopathy of prematurity) Blood vessels of retina begin to develop 3 months after conception Complete development for normal birth Prematurely born babies → disrupted eye development Vessels grow abnormally → scar tissue → vision loss (five stages) Treatment within 72 hours can help correct matters weight < 1.5 kg, GA < 31 weeks

  8. ROP - Stages Plus disease

  9. Content-based medical image retrieval Medical image database Features specific to the imaging modality Training, classification History extraction and comparison

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