Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study

PURPOSE: To develop a denoising convolutional neural network-based image processing technique and investigate its efficacy in diagnosing breast cancer using low-dose mammography imaging. MATERIALS AND METHODS: A total of 6 breast radiologists were included in this prospective study. All radiologists...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Breast Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514435/
https://www.ncbi.nlm.nih.gov/pubmed/36237936
http://dx.doi.org/10.3348/jksr.2020.0152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514435/
https://www.ncbi.nlm.nih.gov/pubmed/36237936
http://dx.doi.org/10.3348/jksr.2020.0152

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