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 …

Global guidance network for breast lesion segmentation in ultrasound images

C Xue, L Zhu, H Fu, X Hu, X Li, H Zhang… - Medical image analysis, 2021 - Elsevier
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 …

A dual-stage transformer and MLP-based network for breast ultrasound image segmentation

G Lin, M Chen, M Tan, L Chen, J Chen - Biocybernetics and Biomedical …, 2023 - Elsevier
Automatic segmentation of breast lesions from ultrasound images plays an important role in
computer-aided breast cancer diagnosis. Many deep learning methods based on …

Boundary-oriented network for automatic breast tumor segmentation in ultrasound images

M Zhang, A Huang, D Yang, R Xu - Ultrasonic Imaging, 2023 - journals.sagepub.com
Breast cancer is considered as the most prevalent cancer. Using ultrasound images is a
momentous clinical diagnosis method to locate breast tumors. However, accurate …

[HTML][HTML] AMS-PAN: Breast ultrasound image segmentation model combining attention mechanism and multi-scale features

Y Lyu, Y Xu, X Jiang, J Liu, X Zhao, X Zhu - Biomedical Signal Processing …, 2023 - Elsevier
Breast ultrasound medical images are characterized by poor imaging quality and irregular
target edges. During the diagnosis process, it is difficult for physicians to segment tumors …

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 …

Breast cancer segmentation from ultrasound images using multiscale cascaded convolution with residual attention-based double decoder network

MJ Umer, MI Sharif, J Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Accurate segmentation of breast cancer (BC) in ultrasound images is a complicated task due
to the variable nature of ultrasound images. Recently, many techniques are suggested to …

Mssa-net: Multi-scale self-attention network for breast ultrasound image segmentation

M Xu, K Huang, Q Chen, X Qi - 2021 IEEE 18th international …, 2021 - ieeexplore.ieee.org
Ultrasound imaging is one of the most commonly used diagnostic tools to detect and classify
abnormalities of the women breast. Automatic ultrasound image segmentation provides …

Multi-scale fusion U-net for the segmentation of breast lesions

J Li, L Cheng, T Xia, H Ni, J Li - IEEE Access, 2021 - ieeexplore.ieee.org
Breast lesion is a malignant tumor that occurs in the epithelial tissue of the breast. The early
detection of breast lesions can make patients for treatment and improve survival rate. Thus …

RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation

G Chen, Y Dai, J Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
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 …