800+ Mammogram Images Without Findings Dataset
Medical Imaging Data
Tags and Keywords

£3,300
About
800+ Mammogram Images Without Findings Dataset
Description
The 800+ Mammogram Images Without Findings Dataset is a curated collection of mammogram images without accompanying findings, annotations, or diagnostic reports collected from 190+ anonymized patients. The dataset is designed for medical imaging AI, computer vision, radiology research, image preprocessing, quality assessment, self-supervised learning, and CAD (Computer-Aided Detection) system development.
This dataset provides high-quality mammogram images suitable for developing baseline models, image enhancement pipelines, denoising algorithms, breast tissue segmentation, and normal breast anatomy analysis. It serves as an essential reference dataset for researchers and organizations developing AI-powered breast cancer screening solutions while minimizing bias introduced by pathological cases.
Note: Pricing varies depending on several factors, including the number of medical images, image quality and resolution, metadata availability, annotation requirements, imaging modality, file formats, and customization needs. The final price will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| File Name | Original image filename |
| Image Format | Image file format (DICOM) |
| Breast View | Standard mammography projection (CC or MLO where available) |
| Laterality | Left or Right breast |
| Breast Side | Left / Right |
| Image Resolution | Width × Height in pixels |
| Pixel Depth | Bit depth of the image |
| Image Dimensions | Image size information |
| Annotation Status | No lesion annotations |
| Diagnostic Labels | None |
Distribution
- Format: DICOM
Data Volume
- Records: 800+ Mammogram Images
- Images: 800+ Mammography images
- Dataset Size: Dataset size may vary depending on image resolution, number of image slices, file formats, metadata availability, annotations, and dataset version.
Usage
This data product is ideal for a variety of applications:
- Medical AI: Train deep learning models for mammography image analysis.
- Computer Vision: Develop image classification and representation learning models.
- Breast Imaging Research: Study normal breast anatomy and mammographic appearance.
- Image Enhancement: Develop denoising, normalization, and contrast enhancement algorithms.
- Medical Image Segmentation: Train breast region segmentation models.
- Self-Supervised Learning: Pre-train foundation models using unlabeled medical images.
- Quality Assessment: Evaluate mammography image quality and preprocessing techniques.
- Computer-Aided Detection (CAD): Build baseline screening systems using normal mammograms.
- Radiology Research: Benchmark medical imaging algorithms.
- Healthcare AI Development: Support next-generation diagnostic workflow development.
Coverage
Geographic Coverage
Global
Demographics
- Female breast mammography images
- Adult screening population
- Normal breast examinations without reported findings
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| file_name | String | Mammogram image filename | Image filename |
| image_format | String | File format | DICOM |
| breast_view | String | Mammography projection | CC, MLO |
| laterality | String | Breast laterality | Left, Right |
| annotation_status | String | Annotation availability | None |
| diagnosis | String | Diagnostic label | None |
| width | Integer | Image width | Pixels |
| height | Integer | Image height | Pixels |
| resolution | String | Image resolution | Width × Height |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
Additional Notes
- Images can be used for computer vision, radiology AI, image preprocessing, representation learning, segmentation, and medical imaging research.
- The dataset is valuable for developing Computer-Aided Detection (CAD) systems, self-supervised learning pipelines, and breast imaging foundation models.
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£3,300
Download Dataset in IMAGE Format
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