Convolutional neural networks for breast cancer detection in mammography: A survey

L Abdelrahman, M Al Ghamdi, F Collado-Mesa… - Computers in biology …, 2021 - Elsevier
Despite its proven record as a breast cancer screening tool, mammography remains labor-
intensive and has recognized limitations, including low sensitivity in women with dense …

Breast cancer screening, mammography, and other modalities

JV Fiorica - Clinical obstetrics and gynecology, 2016 - journals.lww.com
This article is an overview of the modalities available for breast cancer screening. The
modalities discussed include digital mammography, digital breast tomosynthesis, breast …

Deep learning in mammography: diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer

AS Becker, M Marcon, S Ghafoor, MC Wurnig… - Investigative …, 2017 - journals.lww.com
Objectives The aim of this study was to evaluate the diagnostic accuracy of a multipurpose
image analysis software based on deep learning with artificial neural networks for the …

Potential of noncontrast magnetic resonance imaging with diffusion-weighted imaging in characterization of breast lesions: intraindividual comparison with dynamic …

PAT Baltzer, H Bickel, C Spick, G Wengert… - Investigative …, 2018 - journals.lww.com
Objectives The aim of this study was to assess the potential of noncontrast magnetic
resonance imaging (NC-MRI) with diffusion-weighted imaging (DWI) in characterization of …

Quantitative multiparametric breast ultrasound: application of contrast-enhanced ultrasound and elastography leads to an improved differentiation of benign and …

P Kapetas, P Clauser, R Woitek, GJ Wengert… - Investigative …, 2019 - journals.lww.com
Objectives The aim of this study was to evaluate breast multiparametric ultrasound (mpUS)
and its potential to reduce unnecessary breast biopsies with 1, 2, or 3 additional quantitative …

A multicentric comparison of apparent diffusion coefficient mapping and the Kaiser score in the assessment of breast lesions

M Dietzel, B Krug, P Clauser, C Burke… - Investigative …, 2021 - journals.lww.com
Objective We sought to compare the diagnostic performance of apparent diffusion coefficient
(ADC) mapping with the Kaiser score (KS) to distinguish benign from malignant breast …

Breast cancer subtypes and quantitative magnetic resonance imaging: a systemic review

T Kazama, T Takahara, J Hashimoto - Life, 2022 - mdpi.com
Magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast cancer
detection. This systematic review investigated the role of quantitative MRI features in …

New parameters of ultrafast dynamic contrast‐enhanced breast MRI using compressed sensing

M Honda, M Kataoka, N Onishi, M Iima… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Ultrafast dynamic contrast‐enhanced (UF‐DCE) breast MRI is considered a
promising method of accelerated breast MRI. However, the value of new kinetic parameters …

Serum high-temperature-required protein A2: a potential biomarker for the diagnosis of breast cancer

MTA Ghafar, F Gharib, GM Al-Ashmawy, RA Mariah - Gene Reports, 2020 - Elsevier
Background Breast cancer diagnosis is challenging because of the limited diagnostic
efficiency of radiological measures and tumor markers such as carbohydrate antigen 15-3 …

Breast cancer assessment with pulse-echo speed of sound ultrasound from intrinsic tissue reflections: Proof-of-concept

L Ruby, SJ Sanabria, K Martini, KJ Dedes… - Investigative …, 2019 - journals.lww.com
Purpose The aim of this study was to differentiate malignant and benign solid breast lesions
with a novel ultrasound (US) technique, which measures speed of sound (SoS) using …