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MRI-brain-tumor-segmentation

This repository contains the project segmentation of an brain lesion from MRI produced for the Medical Images module of the course BIOMEDICAL SIGNAL PROCESSING AND MEDICAL IMAGES taught by prof. Signorini Maria Gabriella and Bonilauri Augusto at "Politecnico di Milano" A.Y. 2023/2024.

Goal

The aim of the project is to preprocess and segment MRI cerebral volume of a single patient affected by a brain tumor positioned between the frontal and limbic lobes and estimate the lesion volume. More details, methods and results can be seen here.

Files

workflow.m

Contains the elaboration workflow for the segmentation of the tumor and the estimation of its volume. To see resilience to noise, it's possible to add noise by uncommenting the dedicated section.

workflow_manul.m

Compare the automatic workflow to manual segmentation for sagittal slice 135.

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