A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings

Author:

Mellado Diego1,Querales Marvin2,Sotelo Julio3,Godoy Eduardo4,Pardo Fabian5,Lever Scarlett6,Chabert Steren6,Salas Rodrigo6

Affiliation:

1. Universidad de Valparaíso,PhD. Program in Health Sciences and Engineering,Valparaíso,Chile

2. Universidad de Valparaíso,School of Medical Technology,Valparaíso,Chile

3. UTFSM,Departamento de Informática,Santiago,Chile

4. Universidad de Valparaíso,PhD. Program in Applied Software Engineering,Valparaíso,Chile

5. Universidad de Valparaíso,School of Medicine,Valparaíso,Chile

6. Universidad de Valparaíso,School of Biomedical Engineering,Valparaíso,Chile

Funder

Research and Development

Publisher

IEEE

Reference14 articles.

1. Contrast-limited adaptive histogram equalization: speed and effectiveness

2. Probabilistic visual search for masses within mammography images using deep learning

3. Descripción epidemiológica de la mortalidad por cáncer de mama en mujeres en Chile

4. Optimizing and visualizing deep learning for benign/malignant classification in breast tumors;Yi;arXiv preprint arXiv:1705.06362,2017

5. Bi-rads® nomenclature update in mammography and sonography;Camacho-Piedra;Anales de Radiología,2018

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