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Week 1week1 assignment1week1 assignment1264 kb
Week 1Week 1 Assignment Key and SolutionWeek 1 Assignment Key and Solution67 kb
Week 2week2 assignment 2week2 assignment 2143 kb
Week 2Week 2 Assignment Key and SolutionWeek 2 Assignment Key and Solution130 kb
Week 3week3 assignment3week3 assignment3332 kb
Week 3Week 3 Assignment Key and SolutionWeek 3 Assignment Key and Solution73 kb
Week 4week4 assignment4week4 assignment4130 kb
Week 4Week 4 Assignment Key and SolutionWeek 4 Assignment Key and Solution65 kb


Sl.No Chapter Name MP4 Download
1Lecture 1: Introduction to Medical Image AnalysisDownload
2Lecture 2: X Ray and CT ImagingDownload
3Lecture 3: Magnetic Resonance ImagingDownload
4Lecture 4: Ultrasound ImagingDownload
5Lecture 5: Optical Microscopy and Molecular ImagingDownload
6Lecture 6: Texture in Medical ImagesDownload
7Lecture 7: Region Growing and ClusteringDownload
8Lecture 8: Random Walks for SegmentationDownload
9Lecture 9 : Active Contours for SegmentationDownload
10Lecture 10 : Systematic Evaluation and ValidationDownload
11Lecture 11: Decision Trees for Segmentation and ClassificationDownload
12Lecture 12: Random Forests for Segmentation and ClassificationDownload
13 Lecture 13: Neural Networks for Segmentation and ClassificationDownload
14Lecture 14: Deep Learning for Medical Image AnalysisDownload
15Lecture 15: Deep Learning for Medical Image Analysis (Contd.)Download
16Lecture 16: Retinal Vessel SegmentationDownload
17Lecture 17 : Vessel Segmentation in Computed Tomography Scan of LungsDownload
18Lecture 18 Download
19Lecture 19: Tissue Characterization in UltrasoundDownload
20Lecture 20 Download

Sl.No Chapter Name English
1Lecture 1: Introduction to Medical Image AnalysisPDF unavailable
2Lecture 2: X Ray and CT ImagingPDF unavailable
3Lecture 3: Magnetic Resonance ImagingPDF unavailable
4Lecture 4: Ultrasound ImagingPDF unavailable
5Lecture 5: Optical Microscopy and Molecular ImagingPDF unavailable
6Lecture 6: Texture in Medical ImagesPDF unavailable
7Lecture 7: Region Growing and ClusteringPDF unavailable
8Lecture 8: Random Walks for SegmentationPDF unavailable
9Lecture 9 : Active Contours for SegmentationPDF unavailable
10Lecture 10 : Systematic Evaluation and ValidationPDF unavailable
11Lecture 11: Decision Trees for Segmentation and ClassificationPDF unavailable
12Lecture 12: Random Forests for Segmentation and ClassificationPDF unavailable
13 Lecture 13: Neural Networks for Segmentation and ClassificationPDF unavailable
14Lecture 14: Deep Learning for Medical Image AnalysisPDF unavailable
15Lecture 15: Deep Learning for Medical Image Analysis (Contd.)PDF unavailable
16Lecture 16: Retinal Vessel SegmentationPDF unavailable
17Lecture 17 : Vessel Segmentation in Computed Tomography Scan of LungsPDF unavailable
18Lecture 18 PDF unavailable
19Lecture 19: Tissue Characterization in UltrasoundPDF unavailable
20Lecture 20 PDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available