Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges

G Murtaza, L Shuib, AW Abdul Wahab… - Artificial Intelligence …, 2020 - Springer
Breast cancer is a common and fatal disease among women worldwide. Therefore, the early
and precise diagnosis of breast cancer plays a pivotal role to improve the prognosis of …

Artificial intelligence in breast imaging

EPV Le, Y Wang, Y Huang, S Hickman, FJ Gilbert - Clinical radiology, 2019 - Elsevier
This article reviews current limitations and future opportunities for the application of
computer-aided detection (CAD) systems and artificial intelligence in breast imaging …

Novel approaches to screening for breast cancer

RM Mann, R Hooley, RG Barr, L Moy - Radiology, 2020 - pubs.rsna.org
Screening for breast cancer reduces breast cancer–related mortality and earlier detection
facilitates less aggressive treatment. Unfortunately, current screening modalities are …

Breast density implications and supplemental screening

A Vourtsis, WA Berg - European radiology, 2019 - Springer
Digital breast tomosynthesis (DBT) has been widely implemented in place of 2D
mammography, although it is less effective in women with extremely dense breasts. Breast …

The role of ultrasound in screening dense breasts—a review of the literature and practical solutions for implementation

D Thigpen, A Kappler, R Brem - Diagnostics, 2018 - mdpi.com
Breast cancer is the second leading cause of cancer death in women. Estimates indicate a
nearly 40% breast cancer mortality reduction when screening women annually starting at …

Multi-view stereoscopic attention network for 3D tumor classification in automated breast ultrasound

W Ding, H Zhang, S Zhuang, Z Zhuang… - Expert Systems with …, 2023 - Elsevier
As the new generation of breast cancer screening tools, automated breast ultrasound
(ABUS) has some difficulties of the long interpretation time in clinical application. A computer …

Automated breast ultrasound screening for dense breasts

SH Kim, HH Kim, WK Moon - Korean journal of radiology, 2020 - synapse.koreamed.org
Mammography is the primary screening method for breast cancers. However, the sensitivity
of mammographic screening is lower for dense breasts, which are an independent risk factor …

Convolutional neural network for breast and thyroid nodules diagnosis in ultrasound imaging

X Liang, J Yu, J Liao, Z Chen - BioMed Research International, 2020 - Wiley Online Library
Objective. The incidence of superficial organ diseases has increased rapidly in recent years.
New methods such as computer‐aided diagnosis (CAD) are widely used to improve …

[HTML][HTML] Artificial intelligence in breast cancer diagnosis and personalized medicine

JS Ahn, S Shin, SA Yang, EK Park, KH Kim… - Journal of Breast …, 2023 - ncbi.nlm.nih.gov
Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …

Screening breast ultrasound using handheld or automated technique in women with dense breasts

WA Berg, A Vourtsis - Journal of breast imaging, 2019 - academic.oup.com
In women with dense breasts (heterogeneously or extremely dense), adding screening
ultrasound to mammography increases detection of node-negative invasive breast cancer …