Artificial intelligence in ultrasound

YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches

J Zhang, J Wu, XS Zhou, F Shi, D Shen - Seminars in Cancer Biology, 2023 - Elsevier
Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …

AAU-net: an adaptive attention U-net for breast lesions segmentation in ultrasound images

G Chen, L Li, Y Dai, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Various deep learning methods have been proposed to segment breast lesions from
ultrasound images. However, similar intensity distributions, variable tumor morphologies …

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 …

Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet

S Samudrala, CK Mohan - Multimedia Tools and Applications, 2024 - Springer
For early detection of cancer tumors, the semantic segmentation based technique is
proposed because the existing numerous methods fail while classifying due to accuracy and …

SMU-Net: Saliency-guided morphology-aware U-Net for breast lesion segmentation in ultrasound image

Z Ning, S Zhong, Q Feng, W Chen… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Deep learning methods, especially convolutional neural networks, have been successfully
applied to lesion segmentation in breast ultrasound (BUS) images. However, pattern …

Domain knowledge powered deep learning for breast cancer diagnosis based on contrast-enhanced ultrasound videos

C Chen, Y Wang, J Niu, X Liu, Q Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent years, deep learning has been widely used in breast cancer diagnosis, and many
high-performance models have emerged. However, most of the existing deep learning …

C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultrasound images segmentation

G Chen, Y Dai, J Zhang - Computer Methods and Programs in Biomedicine, 2022 - Elsevier
Background and objective Breast lesions segmentation is an important step of computer-
aided diagnosis system. However, speckle noise, heterogeneous structure, and similar …

Rethinking the unpretentious U-net for medical ultrasound image segmentation

G Chen, L Li, J Zhang, Y Dai - Pattern Recognition, 2023 - Elsevier
Breast tumor segmentation from ultrasound images is one of the key steps that help us
characterize and localize tumor regions. However, variable tumor morphology, blurred …

A retinal blood vessel segmentation based on improved D-MNet and pulse-coupled neural network

X Deng, J Ye - Biomedical Signal Processing and Control, 2022 - Elsevier
The pathological changes of the retina are closely related to many human diseases, such as
hypertension and diabetes. In clinical medicine, the pathological conditions of retinal blood …