Gruve MG Set - Gruve India

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The Gruve MG Set is a mammography dataset containing metadata and file information for breast imaging studies. Mammography is specialized X-ray imaging of breast tissue optimized for early detection of breast cancer and other breast abnormalities. The dataset tracks patient demographics (anonymized), imaging modalities, anatomical descriptions, and file sizes for individual studies. It is designed for medical image analysis, PACS management, or healthcare AI model training.

Dataset Structure

Schema Overview

The data types are selected to best suit a dataframe or SQL database for analysis.

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Field name	Recommended type	Description	Sample values
Gender	Categorical / String	The biological sex of the patient.	Female (primarily)
Age	String (Mixed)	The age of the patient. Note: Requires cleaning.	045Y, 052Y, 061Y
Modality	String	The imaging method. All entries are MG (Mammography).	MG
Description	String	Study type and breast imaging views.	Bilateral Screening Mammo, Diagnostic Mammo Left, Tomosynthesis
Size_raw	String	The file size as displayed.	45 MB, 120 MB
Size_bytes	Float / Int	(Derived) Converted to bytes.	45000000, 120000000

Usage & considerations

Technical characteristics of
mammography (MG)

Specialized
X-Ray System

Mammography units use low-energy X-rays (25-35 kVp) optimized for soft tissue contrast. Breast compression reduces tissue thickness, minimizes motion blur, decreases radiation dose, and separates overlapping structures.

Digital Breast
Tomosynthesis

3D mammography acquires multiple projections. Reconstructed slices reduce tissue superimposition, improving lesion detection and reducing false positives. File sizes 5-10x larger than 2D.

Primary use cases

Training deep learning models for automated breast cancer detection and classification.
Developing AI systems for breast density assessment and BI-RADS categorization.

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