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
Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
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
Various deep learning methods have been proposed to segment breast lesions from
ultrasound images. However, similar intensity distributions, variable tumor morphologies …
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 …
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 …
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 …
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
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 …
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
Background and objective Breast lesions segmentation is an important step of computer-
aided diagnosis system. However, speckle noise, heterogeneous structure, and similar …
aided diagnosis system. However, speckle noise, heterogeneous structure, and similar …
Rethinking the unpretentious U-net for medical ultrasound image segmentation
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 …
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 …
hypertension and diabetes. In clinical medicine, the pathological conditions of retinal blood …