Image Processing and Machine Learning for Healthcare Applications Chandra Sekhar Seelamantula Assistant Professor Department of Electrical Engineering Indian Institute of Science Bangalore Email: [email protected] December 19, 2011
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Image Processing and Machine Learning for Healthcare Applications
Chandra Sekhar Seelamantula
Assistant ProfessorDepartment of Electrical Engineering
Indian Institute of ScienceBangalore
Email: [email protected]
December 19, 2011
OutlineMedical image segmentation
Image processing to enable diagnostics
Content-based medical image retrieval
Biological image segmentation
Biological image segmentation
Image analysis for diabetic retinopathy
Medical image segmentation
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
ROP - Stages
Plus disease
Content-based medical image retrievalMedical image database
Features specific to the imaging modality
Training, classification
History extraction and comparison
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