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This repository contains codebase for the image segmentation task as part of the capstone project.

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sarthakforwet/OncoScanAI-Image-Segmentation-for-Gastrointestinal-Tract-Cancer

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OncoScan AI: Image-Segmentation-for-Gastrointestinal-Tract-Cancer

This repository contains codebase for the image segmentation task as part of our capstone project titled OncoScan AI.

Following is the description of the individual pages of the interface -

GUI Description

1. HomePage

about page

The landing page of OncoScan AI which is used also describes about different windows in the Interface.

2. Animation Window

animation page

This page demonstrates the MRI scans of a chosen case using the dropdown button provided in the form of Animation using an adjustable slider.

3. Prediction Window

prediction page

This page demonstrates the prediction window where a user can upload any MRI scan and get a predicted mask as an output figure on the interface itself. The above image demonstrates the predicted mask from an input case 108, Day 13 and slice 74.

4. Visualization Window

visualization page

This page is used to visualize individual MRI scans by choosing specific combination of case, day and slice.

The project is currently in progress and there would be soon further progress made towards improving the models associated with it.

Installation

pip install -r requirements.txt

The above command would installed all of the dependencies for the project. Next run the following command to start the interface.

Run

python app.py

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This repository contains codebase for the image segmentation task as part of the capstone project.

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