Breast Cancer Segmentation and Classification

Overview

This repository contains code and resources related to our work on Breast Cancer Segmentation and Classification. The project focuses on developing and implementing neural networks for the segmentation and classification of breast cancer in medical imaging data.

Updates and Publications

• Code Updates: The repository will be regularly updated with new code and improvements.

• Neural Networks: We are working on advanced neural networks for breast cancer segmentation and classification. Networks that have not been published yet will be released after the corresponding paper is published.

Directory Structure

• Code: Contains the source code for various components of the project.
• Data: Includes sample datasets and information on obtaining larger datasets for experimentation.
• Documentation: Documentation and resources to help users understand and use the code.
• Models: Pre-trained models and model architectures will be provided here.
• Results: Storage for experimental results and performance metrics.