Brain Tumor Segmentation for MRI

  • Tech Stack: 3D U-Net,Sub-volume Sampling,Standardization,Dice Coefficient and Soft Dice Loss
  • Github URL: Project Link
  • Project sample:
    Image 1

The primary objective of the project was to develop an automated system that could accurately identify and segment tumor regions within brain MRI scans.By leveraging advanced image processing techniques and machine learning algorithms, the project aimed to streamline the process of tumor region segmentation, eliminating the need for manual intervention and reducing the potential for human error. The ultimate goal was to enhance the efficiency and accuracy of tumor detection and analysis in medical imaging, thereby facilitating more timely and precise diagnoses and treatment planning for patients with brain tumors.