Medical Image Processing
CVIT




   Home

   People

   Publications

   Collaborators

   Drishti-GS     Dataset

   IBA100     Products

   DR Eye     Tracking

  Home
Click here to visit our new website.

Digital medical images are widely used for diagnostic purposes. Our goal is to develop algorithms for medical image analysis focusing on enhancement, segmentation, multi-modal registration and classification.

To find out more about our activities, please check the following links


Projects

Retinal Image Analysis Retinal Image Analysis
Analysis of retinal images for diagnostic purposes.

Associated People: Arunava, Ujjwal, Gaurav, Madhulika, Sai, Yogesh, Akhilesh, Sukesh, Anurag
OCT 3D Retinal Image Analysis
Devloping automated diagnostic and segmentation algorithms.

Associated People: Karthik, Jahnavi, Divya.
Histo Pathology Histo Pathological Image Analysis
Automatic analysis of histo-pathological images.

Associated People: Anisha.
Neuro Image Analysis
Analysis of brain MRI and CT images for dignostic purposes.

Associated People: Aabhas, Alphin, Abhinav, Raghav, Shushma, Shaskhan, Rohit, Saurabh, Mayank
Medial Image Perception Medical Image Perception
Modeling the radiologist's perception of medical images.

Associated Person: Samrudhdhi, Varun
Image Reconstruction Image Reconstruction
Image upsampling on square and rotated lattice.

Associated People: Tabish, Neha, Kartheek
                                                                                                                                                                                                                                                                                         
Medical Image Processing, CVIT, IIIT, Hyderabad
Last Modified: Oct 31 2018