| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Medical Image Analysis - Introduction | Download |
| 2 | X-ray imaging | Download |
| 3 | MRI Physics | Download |
| 4 | MAGNETIC RESONANCE IMAGE ACQUISITION | Download |
| 5 | ULTRASOUND IMAGING | Download |
| 6 | RADIONUCLIDE IMAGING | Download |
| 7 | Basic Image Processing Methods | Download |
| 8 | Contrast Enhancement | Download |
| 9 | Histogram Equalization | Download |
| 10 | Edge Enhancement - Laplacian | Download |
| 11 | Noise Reduction | Download |
| 12 | Diffusion Filtering | Download |
| 13 | Bayesian Image Restoration | Download |
| 14 | Registration Introduction | Download |
| 15 | Framework | Download |
| 16 | Image Coordinates | Download |
| 17 | Transforms | Download |
| 18 | Metrics | Download |
| 19 | NonRigid Registration | Download |
| 20 | Demons part - 1 | Download |
| 21 | Demons part - 2 | Download |
| 22 | FFDBSplines | Download |
| 23 | Endoscopy - Where are we with AI ? | Download |
| 24 | Computer vision & DL in the operating room | Download |
| 25 | ML in intraoperative tissue identification | Download |
| 26 | Basic Image Processing Techniques Using MATLAB | Download |
| 27 | Image Registration Using Matlab | Download |
| 28 | Basic Image Processing Techniques Using Python | Download |
| 29 | Segmentation Models Demo [Snakes (Active Contours ) Chan-Vese segmentation, Geodesic active Contour] | Download |
| 30 | ACTIVE SHAPE MODELS | Download |
| 31 | Snake tutorial | Download |
| 32 | Level Set Method | Download |
| 33 | Chan Vese Segmentation | Download |
| 34 | Neural Networks Introduction | Download |
| 35 | Linear Regression | Download |
| 36 | Gradient Descent Formulation | Download |
| 37 | Linear Regression Demo | Download |
| 38 | Feed forward neural Networks | Download |
| 39 | Example with XOR | Download |
| 40 | Introduction to CNNs | Download |
| 41 | Max Pooling | Download |
| 42 | Applications of Cnns | Download |
| 43 | CNN Training | Download |
| 44 | Semantic Segmentation | Download |
| 45 | Classification Demo in Pytorch | Download |
| 46 | Generative Models | Download |
| 47 | GAN Final Demo | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Medical Image Analysis - Introduction | PDF unavailable |
| 2 | X-ray imaging | PDF unavailable |
| 3 | MRI Physics | PDF unavailable |
| 4 | MAGNETIC RESONANCE IMAGE ACQUISITION | Download Verified |
| 5 | ULTRASOUND IMAGING | Download Verified |
| 6 | RADIONUCLIDE IMAGING | PDF unavailable |
| 7 | Basic Image Processing Methods | PDF unavailable |
| 8 | Contrast Enhancement | PDF unavailable |
| 9 | Histogram Equalization | PDF unavailable |
| 10 | Edge Enhancement - Laplacian | PDF unavailable |
| 11 | Noise Reduction | PDF unavailable |
| 12 | Diffusion Filtering | PDF unavailable |
| 13 | Bayesian Image Restoration | PDF unavailable |
| 14 | Registration Introduction | PDF unavailable |
| 15 | Framework | PDF unavailable |
| 16 | Image Coordinates | PDF unavailable |
| 17 | Transforms | PDF unavailable |
| 18 | Metrics | PDF unavailable |
| 19 | NonRigid Registration | PDF unavailable |
| 20 | Demons part - 1 | PDF unavailable |
| 21 | Demons part - 2 | PDF unavailable |
| 22 | FFDBSplines | PDF unavailable |
| 23 | Endoscopy - Where are we with AI ? | PDF unavailable |
| 24 | Computer vision & DL in the operating room | PDF unavailable |
| 25 | ML in intraoperative tissue identification | PDF unavailable |
| 26 | Basic Image Processing Techniques Using MATLAB | PDF unavailable |
| 27 | Image Registration Using Matlab | PDF unavailable |
| 28 | Basic Image Processing Techniques Using Python | PDF unavailable |
| 29 | Segmentation Models Demo [Snakes (Active Contours ) Chan-Vese segmentation, Geodesic active Contour] | PDF unavailable |
| 30 | ACTIVE SHAPE MODELS | PDF unavailable |
| 31 | Snake tutorial | PDF unavailable |
| 32 | Level Set Method | PDF unavailable |
| 33 | Chan Vese Segmentation | PDF unavailable |
| 34 | Neural Networks Introduction | PDF unavailable |
| 35 | Linear Regression | PDF unavailable |
| 36 | Gradient Descent Formulation | PDF unavailable |
| 37 | Linear Regression Demo | PDF unavailable |
| 38 | Feed forward neural Networks | PDF unavailable |
| 39 | Example with XOR | PDF unavailable |
| 40 | Introduction to CNNs | PDF unavailable |
| 41 | Max Pooling | PDF unavailable |
| 42 | Applications of Cnns | PDF unavailable |
| 43 | CNN Training | PDF unavailable |
| 44 | Semantic Segmentation | PDF unavailable |
| 45 | Classification Demo in Pytorch | PDF unavailable |
| 46 | Generative Models | PDF unavailable |
| 47 | GAN Final Demo | PDF unavailable |
| 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 |