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A deep learning framework for micro-calcification detection in 2D mammography and C-view
Author(s): Giovanni Trovini; Christian Napoli; Robert Marti; Amaya Martin; Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella; Oliver Diaz
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Paper Abstract

The aim of this paper is to propose a deep learning framework for micro-calcification detection in 2D mammography and in 2D synthetic mammography (C-view) from digital breast tomosynthesis (DBT). The dataset analyzed for 2D mammograms is the INbreast dataset that consists of 410 digital images and we used 360 images with annotated micro-calcifications. For the synthetic views in DBT, we used a private dataset of 245 images, where micro-calcifications were validated by an experienced radiologist. The network is trained in a patch-based fashion, where micro-calcifications are considered positive samples, while patches containing other breast tissues are considered negative. For evaluating the entire dataset, a 2-fold cross validation was performed. In addition, a sliding window method was used to classify new patches within an image with those from the trained model. Considering 5,656 positive samples and 18,000,000 of negative samples, results for the 2D mammography, on the entire dataset, showed an area under the curve (AUC) of 0.9998 and a logarithmic partial area under the curve (logPAUC), in the interval (10−6 , 1), of 0.8252. Results for the C-View, considering 3,420 positive samples and 11,395,939 of negative samples, showed an AUC, on the entire dataset, of 0.9997 and a logPAUC, in the interval (10−6 , 1), of 0.8178. In this paper, we illustrate the applied methodologies, the network architecture used for training and test, and the results obtained.

Paper Details

Date Published: 6 July 2018
PDF: 9 pages
Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018), 1071811 (6 July 2018); doi: 10.1117/12.2318023
Show Author Affiliations
Giovanni Trovini, Univ. of Cassino and Southern Lazio (Italy)
Christian Napoli, Univ. of Cassino and Southern Lazio (Italy)
Robert Marti, Univ. of Girona (Spain)
Amaya Martin, Corp. Sanitari Parc Taulí (Spain)
Alessandro Bria, Univ. of Cassino and Southern Lazio (Italy)
Claudio Marrocco, Univ. of Cassino and Southern Lazio (Italy)
Mario Molinara, Univ. of Cassino and Southern Lazio (Italy)
Francesco Tortorella, Univ. of Cassino and Southern Lazio (Italy)
Oliver Diaz, Corp. Sanitari Parc Taulí (Spain)
Univ. of Girona (Spain)


Published in SPIE Proceedings Vol. 10718:
14th International Workshop on Breast Imaging (IWBI 2018)
Elizabeth A. Krupinski, Editor(s)

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