| Scholar Name | Bhautik Daxini |
| Department | Instrumentation & Control |
| Reseach Area | DEEP LEARNING |
| Supervisor Name | Dr. Mehul Shah |
| Title | A NOVEL DEEP LEARNING APPROACH FOR THE MEDICAL IMAGING OF ABDOMINAL ORGANS |
| Abstract | The mostly used architecture in medical image analysis is CNN but is supervised machine learning algorithms, which require significant amounts of training data. New algorithms/architecture like VAE(Variational auto encoders) & GAN (Generative adversarial networks ) which are unsupervised learning and are emerging in the field of deep learning can be tested on the data set of images related to abdomen for obtaining the idea regarding the improvement of the performance measure related to diagnostic result. |