A web application which detects brain tumours and projects the model of the brain in AR. Reports3D employs the U-Net CNN architecture which detects and segments brain tumours based on MRI scans and renders the volume of location and size of the tumour and brain. This volumetric rendering can e viewed in an Augmented Reality enviroment.
Model View in Website and Augmented Reality
The following image depicts the architecture of Reports3D:
The segmentation results of our CNN are depicted in the image below:
The table below delineates the DSC scores for different regions of the tumour
| Mean Dice Similarity Coefficient | Median Dice Similarity Coefficient | |
|---|---|---|
| Full Tumour | 0.87 | 0.90 |
| Tumour Core | 0.76 | 0.84 |
| Enhancing Tumour | 0.71 | 0.80 |
3-D Model Results
| 3-D Model on web page | 3-D Model in Augmented Reality |
|---|---|
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