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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 12 - Random Forests for Segmentation and Classification

Creating a bag of trees to form a forest Ensemble prediction model What is gained? Certain properties Computational complexity Feature importance.

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