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lavidb's Introduction

"A cloud-based application for on-demand generation of a clinical mammographic image database with different radiation doses and breast lesions."

Currently, this system has 100 mammographic images without lesions provided by the Barretos Cancer Hospital.

From the pool of these 100 images, N new images can be generated on demand according to user-selected characteristics. These characteristics may include generating mammograms with clusters of microcalcifications, adjusting the quantity and contrast of lesions, and simulating the level of radiation dose at which the image was acquired.

Dataset information

Name LAVIDB
Origin Clinical
Field Radiology
Organ Breast
Age range 30-78
Cite as Gregory P. Zanelato, Lucas E. Soares, Renann F. Brandão, Rodrigo B. Vimieiro, Renato F. Caron, Bruno B. Oliveira, Silvia M. P. S. Sabino, Lucas R. Borges, Marcelo A. C. Vieira, "Customizable digital mammography database: on-demand generation with user-defined radiation dose and microcalcification cluster characteristics," Proc. SPIE 13174, 17th International Workshop on Breast Imaging (IWBI 2024), 131741C (29 May 2024); https://doi.org/10.1117/12.3023423
Year 2024
DOI https://doi.org/10.1117/12.3023423
Base images 100
Scanner GE HEALTHCARE (Senographe Pristina)
Modality MG
Resolution 1914 x 2294 px
Copyright Copyright 2024 University of São Paulo (Brazil), Gregory P. Zanelato

Registration

This application is Free for use in legal and ethical medical diagnostics research.

To access the application, the Data Sharing License Agreement must be filled out and attached to the form available at LAVIDB.

lavidb's People

Contributors

gregoryzanelato avatar

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