Learn · Medical Image Analysis
Lecture 12 of 20Week 3
Lecture 12: Random Forests for Segmentation and Classification
Prof. Debdoot Sheet · IIT Kharagpur
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- Medical Image Analysis, IIT Kharagpur (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures
- Lecture 1 : Introduction to Medical Image Analysis
- Lecture 2: X Ray and CT Imaging
- Lecture 3: Magnetic Resonance Imaging
- Lecture 4: Ultrasound Imaging
- Lecture 5: Optical Microscopy and Molecular Imaging
- Lecture 6: Texture in Medical Images
- Lecture 7: Region Growing and Clustering
- Lecture 8: Random Walks for Segmentation
- Lecture 9 : 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 (Contd.)
- Lecture 16: Retinal Vessel Segmentation
- Lecture 17 : Vessel Segmentation in Computed Tomography Scan of Lungs
- Lecture 18
- Lecture 19: Tissue Characterization in Ultrasound
- Lecture 20