Dew's Awesome Blogs

TumorVision: Revolutionizing Brain Tumor Detection with Deep Learning

At the intersection of deep learning and healthcare innovation, TumorVision emerges as a groundbreaking web application dedicated to early and accurate detection of brain tumors.

What is TumorVision?

TumorVision is designed to analyze MRI scans uploaded by users and detect glioma tumors, meningioma tumors, pituitary tumors, or confirm the absence of any tumor. Our mission is to streamline the diagnosis process, enabling healthcare professionals and individuals to act promptly.

How It Works

TumorVision integrates cutting-edge technologies:

• Front End: Built using Flutter for a smooth and intuitive user experience.
• Back End: Leveraging the power of Python, we use PyTorch for model training and OpenCV for advanced image processing.
• Frameworks & Tools: Flask connects the front end and back end, while ngrok ensures seamless communication.

Development Progress

Currently, TumorVision is in its development stage. We’ve successfully created a prototype application with an overall model accuracy ranging between 70-80%. This prototype showcases the potential of TumorVision to revolutionize early detection and diagnosis of brain tumors.

Collaboration

The back end, including model training and image processing, is led by my talented collaborator, Jaliya Nimantha. Connect with him on LinkedIn.

Why TumorVision Matters

Brain tumor detection is often a race against time. By empowering users with swift and reliable tumor detection, TumorVision has the potential to save countless lives and redefine how we approach early diagnosis.

Stay tuned as we continue to refine and enhance this revolutionary healthcare solution.