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

LAEDNet: A Lightweight Attention Encoder–Decoder Network for ultrasound medical image segmentation

(2022) Quan Zhou et al.   COMPUTERS & ELECTRICAL ENGINEERING

Boundary-rendering network for breast lesion segmentation in ultrasound images

(2022) Ruobing Huang et al.   MEDICAL IMAGE ANALYSIS

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

(2022) Gongping Chen et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

(2022) Yuchao Lyu et al.   Biomedical Signal Processing and Control

Global guidance network for breast lesion segmentation in ultrasound images

(2021) Cheng Xue et al.   MEDICAL IMAGE ANALYSIS

Automatic semantic segmentation of breast tumors in ultrasound images based on combining fuzzy logic and deep learning—A feasibility study

(2021) Samir M. Badawy et al.   PLoS One

Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion

(2021) Rizwana Irfan et al.   Diagnostics

Accurate segmentation of breast tumors using AE U-net with HDC model in ultrasound images

(2021) Yu Yan et al.   Biomedical Signal Processing and Control

ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images

(2021) Chunbo Xu et al.   Biomedical Signal Processing and Control

SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image

(2021) Zhenyuan Ning et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Segmentation of breast ultrasound image with semantic classification of superpixels

(2020) Qinghua Huang et al.   MEDICAL IMAGE ANALYSIS

Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network

(2020) Michal Byra et al.   Biomedical Signal Processing and Control

Attention-Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images

(2020) Aleksandar Vakanski et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

(2020) Essam H. Houssein et al.   EXPERT SYSTEMS WITH APPLICATIONS

An RDAU-NET model for lesion segmentation in breast ultrasound images

(2019) Zhemin Zhuang et al.   PLoS One

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

(2019) Nabil Ibtehaz et al.   NEURAL NETWORKS

Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound

(2019) Yi Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic breast ultrasound image segmentation: A survey

(2018) Min Xian et al.   PATTERN RECOGNITION

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

(2018) Moi Hoon Yap et al.   IEEE Journal of Biomedical and Health Informatics

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images

(2018) Seung Yeon Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model

(2018) Yuzhou Hu et al.   MEDICAL PHYSICS

Automatic superpixel-based segmentation method for breast ultrasound images

(2018) Mohammad I. Daoud et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time to Surgery and Breast Cancer Survival in the United States

(2016) Richard J. Bleicher et al.   JAMA Oncology

Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains

(2015) Min Xian et al.   PATTERN RECOGNITION

Optimized graph-based segmentation for ultrasound images

(2013) Qinghua Huang et al.   NEUROCOMPUTING