CSwin-PNet: A CNN-Swin Transformer combined pyramid network for breast lesion segmentation in ultrasound images
H Yang, D Yang - Expert Systems with Applications, 2023 - Elsevier
Currently, the automatic segmentation of breast tumors based on breast ultrasound (BUS)
images is still a challenging task. Most lesion segmentation methods are implemented …
images is still a challenging task. Most lesion segmentation methods are implemented …
HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation
Q He, Q Yang, M Xie - Computers in Biology and Medicine, 2023 - Elsevier
Automatic breast ultrasound image segmentation helps radiologists to improve the accuracy
of breast cancer diagnosis. In recent years, the convolutional neural networks (CNNs) have …
of breast cancer diagnosis. In recent years, the convolutional neural networks (CNNs) have …
RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation
Breast ultrasound images segmentation is one of the key steps in clinical auxiliary diagnosis
of breast cancer, which seriously threatens women's health. Currently, deep learning …
of breast cancer, which seriously threatens women's health. Currently, 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 …
Global guidance network for breast lesion segmentation in ultrasound images
Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which
is one of the dreadful diseases that affect women globally. Segmenting breast regions …
is one of the dreadful diseases that affect women globally. Segmenting breast regions …
Breast ultrasound image segmentation: a coarse‐to‐fine fusion convolutional neural network
K Wang, S Liang, S Zhong, Q Feng, Z Ning… - Medical …, 2021 - Wiley Online Library
Purpose Breast ultrasound (BUS) image segmentation plays a crucial role in computer‐
aided diagnosis systems for BUS examination, which are useful for improved accuracy of …
aided diagnosis systems for BUS examination, which are useful for improved accuracy of …
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 …
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 …
Boundary-rendering network for breast lesion segmentation in ultrasound images
Breast Ultrasound (BUS) has proven to be an effective tool for the early detection of cancer
in the breast. A lesion segmentation provides identification of the boundary, shape, and …
in the breast. A lesion segmentation provides identification of the boundary, shape, and …
Residual feedback network for breast lesion segmentation in ultrasound image
K Wang, S Liang, Y Zhang - … Strasbourg, France, September 27–October 1 …, 2021 - Springer
Accurate lesion segmentation in breast ultrasound (BUS) images is of great significance for
the clinical diagnosis and treatment of breast cancer. However, precise segmentation on …
the clinical diagnosis and treatment of breast cancer. However, precise segmentation on …