https://github.com/iasminmartins/breast-nodule-segmentation
A MATLAB-based project for evaluating active contour segmentation methods in mammographic image analysis, focusing on preprocessing techniques and performance metrics.
https://github.com/iasminmartins/breast-nodule-segmentation
active-contour breast-cancer clahe image-processing level-set-method mammography matlab preprocessing-techniques segmentation wiener-filter
Last synced: 2 months ago
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A MATLAB-based project for evaluating active contour segmentation methods in mammographic image analysis, focusing on preprocessing techniques and performance metrics.
- Host: GitHub
- URL: https://github.com/iasminmartins/breast-nodule-segmentation
- Owner: iasminmartins
- Created: 2025-01-22T18:46:16.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-22T18:56:13.000Z (4 months ago)
- Last Synced: 2025-01-22T19:39:22.347Z (4 months ago)
- Topics: active-contour, breast-cancer, clahe, image-processing, level-set-method, mammography, matlab, preprocessing-techniques, segmentation, wiener-filter
- Language: MATLAB
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Breast Nodule Segmentation - Undergraduate Thesis
This repository contains the MATLAB scripts and analyses developed as part of my undergraduate thesis in Biomedical Engineering at the Federal University of Uberlândia (UFU). The thesis focuses on evaluating active contour segmentation methods and the influence of preprocessing techniques in mammographic image analysis.
đź“„ **Access the thesis:** [Evaluation of Active Contour and the Influence of Preprocessing in Breast Nodule Segmentation](https://repositorio.ufu.br/handle/123456789/43245)
## Repository Contents
- **Processing.m**: Implements the preprocessing techniques and segmentation methods. This includes Wiener filtering, wavelet denoising, CLAHE, and active contour segmentation using the Level-Set sparse field method.
- **Metrics.m**: Contains the functions for calculating and evaluating key metrics such as eccentricity, Hausdorff distance, and segmented area. This file is used to assess the performance of the segmentation results.