Projects/AI & ML/Deep Learning Brain Tumor MRI Segmentation using U-Net
Artificial Intelligence & Machine LearningMajor Final Year Project
Deep Learning Brain Tumor MRI Segmentation using U-Net

Project Overview & Abstract
Medical AI project utilizing a custom U-Net architecture implemented in PyTorch. Achieves a 92.8% Dice Similarity Coefficient across BraTS multimodal MRI datasets. Highlights necrotic, enhancing, and edema tissue contours with an interactive slice-by-slice diagnostic viewer.
Technologies & Tools Used
PythonPyTorchU-NetOpenCVFastAPIReact
Deliverable Package File Contents
Source Code ZIP Archive
Complete executable project folder with all scripts & configuration.
IEEE Project Report (.docx & PDF)
Includes Abstract, Literature Survey, System Design, Data Flow, Test Cases, and References.
PPT Presentation Deck (.pptx)
Ready 15-20 slide presentation deck formatted for university viva evaluation.
Complete Deliverables PackageVERIFIED
Source Code, IEEE Report & PPT
Direct WhatsApp Order • Instant Deliverables & SupportStudent Sign In required to place order • Instant WhatsApp Delivery
Verified Source Code (ZIP)
Formatted IEEE Project Report (.docx/PDF)
Seminar PPT Presentation
Execution Video & Setup Guide
Direct WhatsApp Delivery • Instant Chat at +91 73823 24346