Artificial intelligence in ultrasound

YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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Artificial intelligence in medical imaging of the breast

YM Lei, M Yin, MH Yu, J Yu, SE Zeng, WZ Lv… - Frontiers in …, 2021 - frontiersin.org
Artificial intelligence (AI) has invaded our daily lives, and in the last decade, there have been
very promising applications of AI in the field of medicine, including medical imaging, in vitro …

MRFE-CNN: Multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network

R Ranjbarzadeh, N Tataei Sarshar… - Annals of Operations …, 2023 - Springer
Breast cancer is cancer that develops from the breast tissue and has been recognized as
one of the most dangerous and deadly diseases that is the second leading cause of cancer …

Fluorescence, ultrasonic and photoacoustic imaging for analysis and diagnosis of diseases

B Chu, Z Chen, H Shi, X Wu, H Wang… - Chemical …, 2023 - pubs.rsc.org
Biomedical imaging technology, which allows us to peer deeply within living subjects and
visually explore the delivery and distribution of agents in living things, is producing …

Automatic identification of breast ultrasound image based on supervised block-based region segmentation algorithm and features combination migration deep …

WX Liao, P He, J Hao, XY Wang… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Breast cancer is a high-incidence type of cancer for women. Early diagnosis plays a crucial
role in the successful treatment of the disease and the effective reduction of deaths. In this …

Breast DCE-MRI segmentation for lesion detection by multi-level thresholding using student psychological based optimization

DK Patra, T Si, S Mondal, P Mukherjee - Biomedical Signal Processing and …, 2021 - Elsevier
In recent years, the high prevalence of breast cancer in women has risen dramatically.
Therefore, segmentation of breast Dynamic Contrast-Enhanced Magnetic Resonance …

Region of interest segmentation based on clustering techniques for breast cancer ultrasound images: A review

M Muhammad, D Zeebaree, AMA Brifcani… - Journal of Applied …, 2020 - jastt.org
The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is
a widely employed method for identifying and diagnosing breast abnormalities. Computer …

Understanding the innovative developments with two-stage technology S-curve of nuclear energy projects

Y Meng, H Dincer, S Yüksel - Progress in Nuclear Energy, 2021 - Elsevier
The aim of this study is to evaluate the incremental innovation performance of nuclear
energy projects. Within this context, a novel model is generated which consists of two …

[HTML][HTML] Artificial intelligence in breast ultrasound

GG Wu, LQ Zhou, JW Xu, JY Wang, Q Wei… - World Journal of …, 2019 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is gaining extensive attention for its excellent performance in image-
recognition tasks and increasingly applied in breast ultrasound. AI can conduct a …

Lesion segmentation in ultrasound using semi-pixel-wise cycle generative adversarial nets

J Xing, Z Li, B Wang, Y Qi, B Yu… - … ACM transactions on …, 2020 - ieeexplore.ieee.org
Breast cancer is the most common invasive cancer with the highest cancer occurrence in
females. Handheld ultrasound is one of the most efficient ways to identify and diagnose the …