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Medical Image Analysis

Medical Image Analysis. Instructor: Prof. Debdoot Sheet, Department of Electrical Engineering, IIT Kharagpur. 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)

Lecture 10 - Systematic Evaluation and Validation

Datasets and baselines, prospective and retrospective experiments, bias and variance, evaluating segmentation, ROC, folded cross-validation.


Go to the Course Home or watch other lectures:

Lecture 01 - Introduction to Medical Image Analysis
Lecture 02 - X-ray and CT Imaging
Lecture 03 - Magnetic Resonance Imaging
Lecture 04 - Ultrasound Imaging
Lecture 05 - Optical Microscopy and Molecular Imaging
Lecture 06 - Texture in Medical Images
Lecture 07 - Region Growing and Clustering
Lecture 08 - Random Walks for Segmentation
Lecture 09 - Active Contours for Segmentation
Lecture 10 - Systematic Evaluation and Validation
Lecture 11 - Decision Trees for Segmentation and Classification
Lecture 12 - Random Forests for Segmentation and Classification
Lecture 13 - Neural Networks for Segmentation and Classification
Lecture 14 - Deep Learning for Medical Image Analysis
Lecture 15 - Deep Learning for Medical Image Analysis (cont.)
Lecture 16 - Retinal Vessel Segmentation
Lecture 17 - Vessel Segmentation in Computed Tomography Scan of Lungs
Lecture 18 - Lesion Segmentation in Brain MRI
Lecture 19 - Tissue Characterization in Ultrasound
Lecture 20 - Metastatic Region Segmentation in Lymph Node Biopsy