Deep Learning-based Multi-stage Segmentation Method Using Ultrasound Images for Breast Cancer Diagnosis
出版年份 2022 全文链接
标题
Deep Learning-based Multi-stage Segmentation Method Using Ultrasound Images for Breast Cancer Diagnosis
作者
关键词
-
出版物
Journal of King Saud University-Computer and Information Sciences
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2022-10-28
DOI
10.1016/j.jksuci.2022.10.020
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
- Dilated transformer: residual axial attention for breast ultrasound image segmentation
- (2022) Xiaoyan Shen et al. Quantitative Imaging in Medicine and Surgery
- Global guidance network for breast lesion segmentation in ultrasound images
- (2021) Cheng Xue et al. MEDICAL IMAGE ANALYSIS
- SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification
- (2021) Guisheng Zhang et al. International Journal of Computer Assisted Radiology and Surgery
- CR‐SSL : A closely related self‐supervised learning based approach for improving breast ultrasound tumor segmentation
- (2021) Arnab Kumar Mishra et al. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging
- (2021) Meng Lou et al. NEUROCOMPUTING
- 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
- Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
- (2018) Moi Hoon Yap et al. IEEE Journal of Biomedical and Health Informatics
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- New Fully Automated Method for Segmentation of Breast Lesions on Ultrasound Based on Texture Analysis
- (2016) Wilfrido Gómez-Flores et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Optimized graph-based segmentation for ultrasound images
- (2013) Qinghua Huang et al. NEUROCOMPUTING
- A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering
- (2012) Juan Shan et al. MEDICAL PHYSICS
- Completely Automated Segmentation Approach for Breast Ultrasound Images Using Multiple-Domain Features
- (2012) Juan Shan et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- A robust graph-based segmentation method for breast tumors in ultrasound images
- (2011) Qing-Hua Huang et al. ULTRASONICS
- Computerized lesion segmentation of breast ultrasound based on marker-controlled watershed transformation
- (2009) W. Gómez et al. MEDICAL PHYSICS
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