You get to learn about current technology in processing and analysis of medical images; a rapidly growing industry expected to reach $3.5 billion by 2020. If you are looking forward to a career in medical imaging instrument and softwares design, medical imaging, medical visualization, medical robotics and augmented reality, this is the key subject you should enroll for. You can use the gained skills in order to develop newer technological innovations and regularize them for high-throughput clinical translation and usage.INTENDED AUDIENCE: Interested studentsPRE-REQUISITES : Digital Image ProcessingINDUSTRY SUPPORT : Industries in Medical Imaging, Medical Devices, Medical and Healthcare Softwares viz.GE, Siemens, Philips, Toshiba, Samsung, Microsoft, Google, Zeiss, Robert Bosch, TCS, CDAC, IBM, Boston Scientific, Volcano Corp., Aloka, Rohde & Schwarz.
Overview
Syllabus
Week 1: Introduction to medical imaging modalities and image analysis softwares.
Week 2: Feature extraction, segmentation, systematic evaluation and validation on datasets.
Week 3: Machine learning based approaches for segmentation and classification.
Week 4: Case studies on some recent advances in analysis of retinal, CT, MRI, ultrasound and histology images
Week 2: Feature extraction, segmentation, systematic evaluation and validation on datasets.
Week 3: Machine learning based approaches for segmentation and classification.
Week 4: Case studies on some recent advances in analysis of retinal, CT, MRI, ultrasound and histology images
