Breast cancer detection using deep learning: Datasets, methods, and challenges ahead

RA Dar, M Rasool, A Assad - Computers in biology and medicine, 2022 - Elsevier
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials

A Shukla‐Dave, NA Obuchowski… - Journal of Magnetic …, 2019 - Wiley Online Library
Physiological properties of tumors can be measured both in vivo and noninvasively by
diffusion‐weighted imaging and dynamic contrast‐enhanced magnetic resonance imaging …

Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer

WA Berg, JD Blume, JB Cormack, EB Mendelson… - Jama, 2008 - jamanetwork.com
Context Screening ultrasound may depict small, node-negative breast cancers not seen on
mammography. Objective To compare the diagnostic yield, defined as the proportion of …

Breast MRI: guidelines from the European society of breast imaging

RM Mann, CK Kuhl, K Kinkel, C Boetes - European radiology, 2008 - Springer
The aim of breast MRI is to obtain a reliable evaluation of any lesion within the breast. It is
currently always used as an adjunct to the standard diagnostic procedures of the breast, ie …

[HTML][HTML] Perfusion and vascular permeability: basic concepts and measurement in DCE-CT and DCE-MRI

CA Cuenod, D Balvay - Diagnostic and interventional imaging, 2013 - Elsevier
The microvascular network formed by the capillaries supplies the tissues and permits their
function. It provides a considerable surface area for exchanges between blood and tissues …

The ACR BI-RADS® experience: learning from history

ES Burnside, EA Sickles, LW Bassett, DL Rubin… - Journal of the American …, 2009 - Elsevier
The Breast Imaging Reporting and Data System®(BI-RADS®) initiative, instituted by the
ACR, was begun in the late 1980s to address a lack of standardization and uniformity in …

Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI

VS Parekh, MA Jacobs - NPJ breast cancer, 2017 - nature.com
Radiomics deals with the high throughput extraction of quantitative textural information from
radiological images that not visually perceivable by radiologists. However, the biological …

A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications

I Sechopoulos - Medical physics, 2013 - Wiley Online Library
Many important post‐acquisition aspects of breast tomosynthesis imaging can impact its
clinical performance. Chief among them is the reconstruction algorithm that generates the …

A novel approach to contrast-enhanced breast magnetic resonance imaging for screening: high-resolution ultrafast dynamic imaging

RM Mann, RD Mus, J van Zelst, C Geppert… - Investigative …, 2014 - journals.lww.com
Objectives The use of breast magnetic resonance imaging (MRI) as screening tool has been
stalled by high examination costs. Scan protocols have lengthened to optimize specificity …

Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging

RH EI Khouli, MA Jacobs, SD Mezban, P Huang… - Radiology, 2010 - pubs.rsna.org
Purpose To evaluate the incremental value of diffusion-weighted (DW) imaging and
apparent diffusion coefficient (ADC) mapping in relation to conventional breast magnetic …