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Medical Image Analysis. Instructor: Prof. Debdoot Sheet, Department of Electrical Engineering, IIT Kharagpur.
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English
English [CC]
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Description
This course deals with current technology in processing and analysis of medical images, covering topics: X-ray and CT Imaging, Magnetic Resonance Imaging, Ultrasound Imaging, Optical Microscopy and Molecular Imaging, Texture in Medical Images, Methods for Segmenting Medical Images, Decision Trees for Segmentation and Classification of Medical Images, and Deep Learning for Medical Image Analysis. (from nptel.ac.in)
Course content
- Lecture 01 – Introduction to Medical Image Analysis Unlimited
- Lecture 02 – X-ray and CT Imaging Unlimited
- Lecture 03 – Magnetic Resonance Imaging Unlimited
- Lecture 04 – Ultrasound Imaging Unlimited
- Lecture 05 – Optical Microscopy and Molecular Imaging Unlimited
- Lecture 06 – Texture in Medical Images Unlimited
- Lecture 07 – Region Growing and Clustering Unlimited
- Lecture 08 – Random Walks for Segmentation Unlimited
- Lecture 09 – Active Contours for Segmentation Unlimited
- Lecture 10 – Systematic Evaluation and Validation Unlimited
- Lecture 11 – Decision Trees for Segmentation and Classification Unlimited
- Lecture 12 – Random Forests for Segmentation and Classification Unlimited
- Lecture 13 – Neural Networks for Segmentation and Classification Unlimited
- Lecture 14 – Deep Learning for Medical Image Analysis Unlimited
- Lecture 15 – Deep Learning for Medical Image Analysis (cont.) Unlimited
- Lecture 16 – Retinal Vessel Segmentation Unlimited
- Lecture 17 – Vessel Segmentation in Computed Tomography Scan of Lungs Unlimited
- Lecture 18 – Lesion Segmentation in Brain MRI Unlimited
- Lecture 19 – Tissue Characterization in Ultrasound Unlimited
- Lecture 20 – Metastatic Region Segmentation in Lymph Node Biopsy Unlimited
Instructor
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