MyTwinLab/DMID_Breast_Cancer_Mammography_Dataset

DMID Breast Cancer Mammography Dataset 🎗️

Overview 🔬

This dataset, the Digital Mammography Dataset for Breast Cancer Diagnosis Research (DMID), provides a comprehensive collection of mammogram images intended for research and educational purposes. It aims to facilitate the development and evaluation of computer-aided diagnosis systems for breast cancer detection. 👩‍⚕️

Dataset Contents 📁

The dataset includes the following components:

• TIFF Images: Contains the mammography images in TIFF (Tagged Image File Format). 💾
• ROI Masks: Provides Region of Interest (ROI) masks, likely highlighting areas of abnormality. 📌
• Pixel-level annotation: Contains detailed pixel-level annotations for abnormal regions within the images. 📍
• Metadata.xlsx: An Excel file containing metadata associated with the images and cases. 📊

Potential Uses 💡

This dataset can be utilized for various research and educational activities, including but not limited to:

• Breast Cancer Detection and Classification: Training and evaluating machine learning and deep learning models to automatically detect and classify abnormalities in mammograms. 🧠
• Image Segmentation: Developing algorithms for segmenting regions of interest (e.g., tumors) in mammography images. ✂️
• Radiology Report Analysis: Exploring techniques for extracting relevant information from radiology reports. 📰
• Computer-Aided Diagnosis (CAD) System Development: Building and testing complete CAD systems to assist radiologists in breast cancer diagnosis. ⚙️
• Educational Purposes: Providing students and researchers with real-world mammography data for learning and experimentation. 📚

Authors 🧑‍🤝‍🧑

This dataset was authored by Parita Oza, Rajiv Oza, Urvi Oza, Paawan Sharma, Samir Patel, Pankaj Kumar, and Bakul Gohel.

License 📜

This dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows for the sharing and adaptation of the material for any purpose, even commercially, as long as appropriate credit is given to the authors.

Citation ✍️

When using this dataset in your research, please cite the following: Oza, Parita; Oza, Rajiv; Oza, Urvi; Sharma, Paawan; Patel, Samir; Kumar, Pankaj; et al. (2023). Digital mammography Dataset for Breast Cancer Diagnosis Research (DMID). figshare. Dataset. https://doi.org/10.6084/m9.figshare.24522883.v2