Convolutional neural network -based phantom image scoring for mammography quality control

Convolutional neural network -based phantom image scoring for mammography quality control

Abstract Background Visual evaluation of phantom images is an important, but time-consuming part of mammography quality control (QC). Consistent scoring of phantom images over the device’s lifetime is highly desirable. Recently, convolutional neural networks (CNNs) have been applied to a wide range...

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Bibliographic Details
Main Authors: Veli-Matti Sundell, Teemu Mäkelä, Anne-Mari Vitikainen, Touko Kaasalainen
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Medical Imaging
Subjects:
Mammography
Quality control
Convolutional neural network
Online Access:https://doi.org/10.1186/s12880-022-00944-w

Internet

https://doi.org/10.1186/s12880-022-00944-w

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