A Convolutional Neural Network-Based Anthropomorphic Model Observer for Signal Detection in Breast CT Images Without Human-Labeled Data

A Convolutional Neural Network-Based Anthropomorphic Model Observer for Signal Detection in Breast CT Images Without Human-Labeled Data

Various imaging parameters in X-ray computed tomography (CT) should be examined and optimized by task-based assessment of human observer performance. Recently, convolutional neural networks (CNNs) have been introduced as anthropomorphic model observers. However, when human-labeled data are not avail...

Full description

Bibliographic Details
Main Authors: Byeongjoon Kim, Minah Han, Jongduk Baek
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anthropomorphic model observer
breast cone-beam CT
convolutional neural network
data labeling
early stopping
signal detection
Online Access:https://ieeexplore.ieee.org/document/9184874/

Internet

https://ieeexplore.ieee.org/document/9184874/

Similar Items