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Computational method to perform the artificial insertion of microcalcifications in normal mammograms

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Computational method to artificially insert clusters of microcalcifications in digital breast tomosynthesis

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This repository contains the training and testing codes for the paper "Computational method to artificially insert clusters of microcalcifications in digital breast tomosynthesis", submitted to the SPIE Medical Imaging 2023 conference. We used the LIBRA software from the University of Pennsylvania. Also, we used our in-house software to reconstruct the DBT projections (pyDBT). Finally, we evaluated the method using a 2AFC test, and the GUI interface is available here.

Pipeline:

pipeline

Some results:

realvssimu

z_changes

2afc


Laboratory of Computer Vision (Lavi)
Department of Electrical and Computer Engineering
São Carlos School of Engineering, University of São Paulo
São Carlos - Brazil

AI-based X-ray Imaging System (AXIS)
Department of Biomedical Engineering
Rensselaer Polytechnic Institute
Troy - USA

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Computational method to perform the artificial insertion of microcalcifications in normal mammograms

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