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Deep-Learning-Based Computer- Aided Systems for Breast Cancer Imaging: A Critical Review

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Jiménez-Gaona, Y.; Rodríguez Álvarez, MJ.; Lakshminarayanan, V. (2020). Deep-Learning-Based Computer- Aided Systems for Breast Cancer Imaging: A Critical Review. Applied Sciences. 10(22):1-29. https://doi.org/10.3390/app10228298

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Title: Deep-Learning-Based Computer- Aided Systems for Breast Cancer Imaging: A Critical Review
Author: Jiménez-Gaona, Yuliana Rodríguez Álvarez, María José Lakshminarayanan, Vasudevan
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Issued date:
[EN] This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent advances in computer-aided diagnosis/detection ...[+]
Subjects: Breast cancer , Computer-aided diagnosis , Convolutional neural networks , Deep learning , Mammography , Ultrasound
Copyrigths: Reconocimiento (by)
Applied Sciences. (eissn: 2076-3417 )
DOI: 10.3390/app10228298
Publisher version: https://doi.org/10.3390/app10228298
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107790RB-C22/ES/DESARROLLO DEL SOFTWARE PARA UN SISTEMA PET DE CRISTAL CONTINUO APLICADO AL CANCER DE MAMA/
This project has been co-financed by the Spanish Government Grant PID2019-107790RB-C22, "Software development for a continuous PET crystal systems applied to breast cancer".
Type: Artículo


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