Resumen

RUIZ, Estefanía  y  DOMINGUEZ, Jesús Emmanuel. Deep Learning Applied in Photoacoustic Images for the Identification of Breast Cancer. RCIM [online]. 2022, vol.14, n.1  Epub 01-Jun-2022. ISSN 1684-1859.

Photoacoustic Imaging (PAI) is a hybrid imaging modality that combines optical illumination and ultrasound detection. Because pure optical imaging methods cannot maintain high resolution, the ability to achieve high resolution optical contrast images in biological tissues makes Photoacoustic (PA) a promising technique for various clinical imaging applications. At present, Deep Learning has the most recent approach of methods based on PAI where there are a large number of applications in image analysis especially in the area of ​​the biomedical field, such as acquisition, segmentation and reconstructions of computed tomography imaging. This review describes the latest research in PAI and an analysis of the techniques and methods based on Deep Learning applied in different modalities for the diagnosis of breast cancer.

Palabras clave : photoacoustic images; photoacoustic tomography; deep learning; machine learning; breast cancer; image reconstruction.

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