Performance and robustness of machine learning-based radiomic COVID-19 severity prediction

SSF Yip, Z Klanecek, S Naganawa, J Kim, A Studen… - medRxiv, 2020 - medrxiv.org
Objectives This study investigated the performance and robustness of radiomics in
predicting COVID-19 severity in a large public cohort. Methods A public dataset of 1110 …

Initial clinical results with a fusion prototype for mammography and three-dimensional ultrasound with a standard mammography system and a standard ultrasound …

J Emons, M Wunderle, A Hartmann… - Acta …, 2018 - journals.sagepub.com
Background Combinations of different imaging techniques in fusion devices appear to be
associated with improvements in diagnostic assessment. Purpose The aim of this study was …

The relationship of breast density in mammography and magnetic resonance imaging in high-risk women and women with breast cancer

M Albert, F Schnabel, J Chun, S Schwartz, J Lee… - Clinical imaging, 2015 - Elsevier
Purpose To evaluate the relationship between mammographic breast density (MBD),
background parenchymal enhancement (BPE), and fibroglandular tissue (FGT) in women …

Determinants of the reliability of ultrasound tomography sound speed estimates as a surrogate for volumetric breast density

ZG Khodr, MA Sak, RM Pfeiffer, N Duric… - Medical …, 2015 - Wiley Online Library
Purpose: High breast density, as measured by mammography, is associated with increased
breast cancer risk, but standard methods of assessment have limitations including 2D …

An early breast cancer detection system using recurrent neural network (rnn) with animal migration optimization (AMO) based classification method

S Prakash, K Sangeetha - Journal of Medical Imaging and …, 2021 - ingentaconnect.com
Breast cancer can be detected using early signs of it mammograms and digital
mammography. For Computer Aided Detection (CAD), algorithms can be developed using …

Breast density: the trend in breast cancer screening

Y Machida, M Tozaki, A Shimauchi, T Yoshida - Breast Cancer, 2015 - Springer
The primary modality for breast cancer screening is mammography. Recent investigations,
however, have indicated that an insufficient number of life-threatening cases have been …

Supplemental screening with automated breast ultrasound in women with dense breasts: comparing notification methods and screening behaviors

A Aripoli, K Fountain, O Winblad… - American Journal of …, 2018 - Am Roentgen Ray Soc
OBJECTIVE. Supplemental screening with ultrasound has been shown to detect additional
breast malignancies in women with dense breast tissue and normal mammogram findings …

[HTML][HTML] Breast density effect on the sensitivity of digital screening mammography in a UK cohort

NR Payne, SE Hickman, R Black, AN Priest… - European …, 2024 - Springer
Objectives To assess the performance of breast cancer screening by category of breast
density and age in a UK screening cohort. Methods Raw full-field digital mammography data …

Deep learning in breast cancer screening

H Harvey, A Heindl, G Khara, D Korkinof… - Artificial intelligence in …, 2019 - Springer
Traditional computer aided detection (CAD) systems for breast cancer screening relied on
machine learning with human-coded feature-engineering. They have largely failed to fulfill …

Breast Density: Where Are We Now?

E Kim, AA Lewin - Radiologic Clinics, 2024 - radiologic.theclinics.com
Breast density refers to the amount of fibroglandular tissue relative to fat and is determined
either visually or quantitatively on mammography. The assessment of breast density is …