Computational reader design and statistical performance evaluation of an in-silico imaging clinical trial comparing digital breast tomosynthesis with full-field digital mammography
Author:
Affiliation:
1. Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laborat
Publisher
SPIE-Intl Soc Optical Eng
Subject
Radiology Nuclear Medicine and imaging
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1. In-silico study of the impact of system design parameters on microcalcification detection in wide-angle digital breast tomosynthesis;Journal of Medical Imaging;2024-07-24
2. Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach;Physics in Medicine & Biology;2023-12-13
3. Approximating the Hotelling observer with autoencoder-learned efficient channels for binary signal detection tasks;Journal of Medical Imaging;2023-09-26
4. Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis;European Radiology;2023-08-12
5. Performance evaluation of digital breast tomosynthesis systems: comparison of current virtual clinical trial methods;Physics in Medicine & Biology;2022-11-16
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