A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings-Reference-Cited by-同舟云学术

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

Published:2023-11-15 Issue: Volume:17 Page:1-5
ISSN:
Container-title:2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)
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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

Link

http://xplorestaging.ieee.org/ielx7/10373395/10373414/10373511.pdf?arnumber=10373511

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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