| Module Name | Download |
|---|---|
| noc20_ee40_assigment_1 | noc20_ee40_assigment_1 |
| noc20_ee40_assigment_2 | noc20_ee40_assigment_2 |
| noc20_ee40_assigment_3 | noc20_ee40_assigment_3 |
| noc20_ee40_assigment_4 | noc20_ee40_assigment_4 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lecture 1 : Introduction to Medical Image Analysis | Download |
| 2 | Lecture 2: X Ray and CT Imaging | Download |
| 3 | Lecture 3: Magnetic Resonance Imaging | Download |
| 4 | Lecture 4: Ultrasound Imaging | Download |
| 5 | Lecture 5: Optical Microscopy and Molecular Imaging | Download |
| 6 | Lecture 6: Texture in Medical Images | Download |
| 7 | Lecture 7: Region Growing and Clustering | Download |
| 8 | Lecture 8: Random Walks for Segmentation | Download |
| 9 | Lecture 9 : Active Contours for Segmentation | Download |
| 10 | Lecture 10 : Systematic Evaluation and Validation | Download |
| 11 | Lecture 11: Decision Trees for Segmentation and Classification | Download |
| 12 | Lecture 12: Random Forests for Segmentation and Classification | Download |
| 13 | Lecture 13: Neural Networks for Segmentation and Classification | Download |
| 14 | Lecture 14: Deep Learning for Medical Image Analysis | Download |
| 15 | Lecture 15 : Deep Learning for Medical Image Analysis (Contd.) | Download |
| 16 | Lecture 16: Retinal Vessel Segmentation | Download |
| 17 | Lecture 17 : Vessel Segmentation in Computed Tomography Scan of Lungs | Download |
| 18 | Lecture 18 | Download |
| 19 | Lecture 19: Tissue Characterization in Ultrasound | Download |
| 20 | Lecture 20 | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture 1 : Introduction to Medical Image Analysis | Download To be verified |
| 2 | Lecture 2: X Ray and CT Imaging | Download To be verified |
| 3 | Lecture 3: Magnetic Resonance Imaging | Download To be verified |
| 4 | Lecture 4: Ultrasound Imaging | Download To be verified |
| 5 | Lecture 5: Optical Microscopy and Molecular Imaging | Download To be verified |
| 6 | Lecture 6: Texture in Medical Images | Download To be verified |
| 7 | Lecture 7: Region Growing and Clustering | Download To be verified |
| 8 | Lecture 8: Random Walks for Segmentation | Download To be verified |
| 9 | Lecture 9 : Active Contours for Segmentation | Download To be verified |
| 10 | Lecture 10 : Systematic Evaluation and Validation | Download To be verified |
| 11 | Lecture 11: Decision Trees for Segmentation and Classification | Download To be verified |
| 12 | Lecture 12: Random Forests for Segmentation and Classification | Download To be verified |
| 13 | Lecture 13: Neural Networks for Segmentation and Classification | Download To be verified |
| 14 | Lecture 14: Deep Learning for Medical Image Analysis | Download To be verified |
| 15 | Lecture 15 : Deep Learning for Medical Image Analysis (Contd.) | Download To be verified |
| 16 | Lecture 16: Retinal Vessel Segmentation | Download To be verified |
| 17 | Lecture 17 : Vessel Segmentation in Computed Tomography Scan of Lungs | Download To be verified |
| 18 | Lecture 18 | Download To be verified |
| 19 | Lecture 19: Tissue Characterization in Ultrasound | Download To be verified |
| 20 | Lecture 20 | Download To be verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Not Available |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |