DeepLook: a deep learning computed diagnosis support for breast tomosynthesis

G. Mettivier; R. Ricciarci; A. Sarno; F. S. Maddaloni; M. Porzio; M. Staffa; S. Minelli; A. Santoro; E. Antignani; M. Masi; V. Landoni; P. Ordonez; F. Ferranti; L. Greco; S. Clemente; P. Russo

doi:10.1117/12.2625369

13 July 2022 DeepLook: a deep learning computed diagnosis support for breast tomosynthesis

G. Mettivier, R. Ricciarci, A. Sarno, F. S. Maddaloni, M. Porzio, M. Staffa, S. Minelli, A. Santoro, E. Antignani, M. Masi, V. Landoni, P. Ordonez, F. Ferranti, L. Greco, S. Clemente, P. Russo

Author Affiliations +

Proceedings Volume 12286, 16th International Workshop on Breast Imaging (IWBI2022); 122860P (2022) https://doi.org/10.1117/12.2625369
Event: Sixteenth International Workshop on Breast Imaging, 2022, Leuven, Belgium

Abstract

The aim of the DeepLook project, funded by INFN (Italy), is to implement a deep learning architecture for Computed Aided Detection (CAD), based on neural networks developed with deep learning methods, for the automatic detection and classification of breast lesions in DBT images. A preliminary step (started 2 years ago and still ongoing) was the creation of a dataset of annotated images. This dataset includes images acquired with different clinical DBT units and different acquisition geometries, on several hundred patients, containing a variety of possible breast lesions and normal cases of absence of lesions. This will make the diagnostic capacity of the CAD system particularly extensive in various clinical situations and on a significant sample of patients, so allowing the network to diagnose various types of lesions (at the level of the single tomosynthesis slices) and capable of operate on commercial DBT systems, also available from different vendors, as found in breast diagnosis departments. The developed CAD and first result of the indication of the slice containing the suspected mass will be presented.

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G. Mettivier, R. Ricciarci, A. Sarno, F. S. Maddaloni, M. Porzio, M. Staffa, S. Minelli, A. Santoro, E. Antignani, M. Masi, V. Landoni, P. Ordonez, F. Ferranti, L. Greco, S. Clemente, and P. Russo "DeepLook: a deep learning computed diagnosis support for breast tomosynthesis", Proc. SPIE 12286, 16th International Workshop on Breast Imaging (IWBI2022), 122860P (13 July 2022); https://doi.org/10.1117/12.2625369

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KEYWORDS

Digital breast tomosynthesis

Breast

Image classification

Cancer

Diagnostics

Neural networks

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