Breast ultrasonography: state of the art

RJ Hooley, LM Scoutt, LE Philpotts - Radiology, 2013 - pubs.rsna.org
Ultrasonography (US) is an indispensable tool in breast imaging and is complementary to
both mammography and magnetic resonance (MR) imaging of the breast. Advances in US …

Cystic breast masses and the ACRIN 6666 experience

WA Berg, AG Sechtin, H Marques… - Radiologic …, 2010 - radiologic.theclinics.com
Masses due to cystic lesions of the breast are extremely common findings on
mammography, ultrasonography, and magnetic resonance (MR) imaging. Although many of …

A novel image-to-knowledge inference approach for automatically diagnosing tumors

Q Huang, D Wang, Z Lu, S Zhou, J Li, L Liu… - Expert Systems with …, 2023 - Elsevier
Breast cancer is one of the most vulnerable malignant tumors for women in the world, which
seriously threatens women's life and health. Breast ultrasound imaging technology is widely …

[BOOK][B] Diseases of the Breast

JR Harris, ME Lippman, CK Osborne, M Morrow - 2012 - books.google.com
Completely revised and updated, and now in full color throughout, the Fourth Edition of this
definitive reference is a must for all clinicians who treat breast diseases. Leading experts …

Automated breast cancer detection and classification using ultrasound images: A survey

HD Cheng, J Shan, W Ju, Y Guo, L Zhang - Pattern recognition, 2010 - Elsevier
Breast cancer is the second leading cause of death for women all over the world. Since the
cause of the disease remains unknown, early detection and diagnosis is the key for breast …

Segmentation information with attention integration for classification of breast tumor in ultrasound image

Y Luo, Q Huang, X Li - Pattern Recognition, 2022 - Elsevier
Breast cancer is one of the most common forms of cancer among women worldwide. The
development of computer-aided diagnosis (CAD) technology based on ultrasound imaging …

Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis

Y Luo, Z Lu, L Liu, Q Huang - Biomedical Signal Processing and Control, 2023 - Elsevier
Breast cancer is a common disease worldwide that poses a significant threat to the health of
women. Many researchers have developed computer-aided diagnosis (CAD) systems to …

[HTML][HTML] Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma

SE Lee, K Han, JY Kwak, E Lee, EK Kim - Scientific reports, 2018 - nature.com
Triple-negative breast cancer (TNBC) is sometimes mistaken for fibroadenoma due to its
tendency to show benign morphology on breast ultrasound (US) albeit its aggressive nature …

Real‐time elastography—an advanced method of ultrasound: first results in 108 patients with breast lesions

A Thomas, T Fischer, H Frey, R Ohlinger… - … in Obstetrics and …, 2006 - Wiley Online Library
Objectives To evaluate whether real‐time elastography, a new, non‐invasive method for the
diagnosis of breast cancer, improves the differentiation and characterization of benign and …

Weakly-supervised deep learning for ultrasound diagnosis of breast cancer

J Kim, HJ Kim, C Kim, JH Lee, KW Kim, YM Park… - Scientific reports, 2021 - nature.com
Conventional deep learning (DL) algorithm requires full supervision of annotating the region
of interest (ROI) that is laborious and often biased. We aimed to develop a weakly …