6th Inter-IIT Tech Meet 2018
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Updated
Nov 5, 2018 - Python
6th Inter-IIT Tech Meet 2018
A model build for the brain tumor segmentation using Brain MRI.
Tumors detections on MRI slice using semantic segmentation.
Denoising of both MRI and CT images in Python
The aim of the project is to classify MR scans according to the severity of dementia.
Model-based image synthesize of CT and MR brain images.
Final project of Cognitive Computing System course
A basic example of image classification with PyTorch, included with instructions on how to re-create results and the performance of the best performing model
💀 Comparative Brain Visualization Tool utilizing AMI
In this project, MRI images are compared and colored according to their intensity with GUI in Java.
Brain cancer classification with 98.2% accuracy
k-space weighting and masking for denoising of MRI image without blurring or losing contrast, as well as for brightening of the objects in the image with simultaneous noise reduction (on the example of Agilent FID data). (Python 3)
To ensure a better diagnosis of patients, doctors may need to look at multiple MRI scans. What if only one type of MRI needs to be done and others can be auto-generated? Generative Adversarial Networks (GANs) have been used for generating deepfakes, new fashion styles and high-resolution pictures from the low-resolution ones
A visualisation tool for making a 3d head out of MRI brain scans
Applied 3D CNN on T1-MRI images for classifying healthy/unhealthy subjects.
Sample MR and artificial electrophysiology data that can be used with vurtigo
Apply Skulll Stripping to any 3D Brain MRI images
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