675 related articles for article (PubMed ID: 36146070)
1. An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images.
Daoud MI; Al-Ali A; Alazrai R; Al-Najar MS; Alsaify BA; Ali MZ; Alouneh S
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146070
[TBL] [Abstract][Full Text] [Related]
2. Automatic semantic segmentation of breast tumors in ultrasound images based on combining fuzzy logic and deep learning-A feasibility study.
Badawy SM; Mohamed AEA; Hefnawy AA; Zidan HE; GadAllah MT; El-Banby GM
PLoS One; 2021; 16(5):e0251899. PubMed ID: 34014987
[TBL] [Abstract][Full Text] [Related]
3. Breast ultrasound region of interest detection and lesion localisation.
Yap MH; Goyal M; Osman F; Martà R; Denton E; Juette A; Zwiggelaar R
Artif Intell Med; 2020 Jul; 107():101880. PubMed ID: 32828439
[TBL] [Abstract][Full Text] [Related]
4. Automatic detection of regions of interest in breast ultrasound images based on local phase information.
Wang X; Guo Y; Wang Y
Biomed Mater Eng; 2015; 26 Suppl 1():S1265-73. PubMed ID: 26405886
[TBL] [Abstract][Full Text] [Related]
5. An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures.
Cao Z; Duan L; Yang G; Yue T; Chen Q
BMC Med Imaging; 2019 Jul; 19(1):51. PubMed ID: 31262255
[TBL] [Abstract][Full Text] [Related]
6. BUS-Net: Breast Tumour Detection Network for Ultrasound Images Using Bi-directional ConvLSTM and Dense Residual Connections.
Arora R; Raman B
J Digit Imaging; 2023 Apr; 36(2):627-646. PubMed ID: 36515746
[TBL] [Abstract][Full Text] [Related]
7. Fully automatic tumor segmentation of breast ultrasound images with deep learning.
Zhang S; Liao M; Wang J; Zhu Y; Zhang Y; Zhang J; Zheng R; Lv L; Zhu D; Chen H; Wang W
J Appl Clin Med Phys; 2023 Jan; 24(1):e13863. PubMed ID: 36495018
[TBL] [Abstract][Full Text] [Related]
8. A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses.
Daoud MI; Bdair TM; Al-Najar M; Alazrai R
Comput Math Methods Med; 2016; 2016():6740956. PubMed ID: 28127383
[TBL] [Abstract][Full Text] [Related]
9. New one-step model of breast tumor locating based on deep learning.
Tao C; Chen K; Han L; Peng Y; Li C; Hua Z; Lin J
J Xray Sci Technol; 2019; 27(5):839-856. PubMed ID: 31306148
[TBL] [Abstract][Full Text] [Related]
10. HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images.
Mo Y; Han C; Liu Y; Liu M; Shi Z; Lin J; Zhao B; Huang C; Qiu B; Cui Y; Wu L; Pan X; Xu Z; Huang X; Li Z; Liu Z; Wang Y; Liang C
IEEE Trans Med Imaging; 2023 Jun; 42(6):1696-1706. PubMed ID: 37018705
[TBL] [Abstract][Full Text] [Related]
11. Fus2Net: a novel Convolutional Neural Network for classification of benign and malignant breast tumor in ultrasound images.
Ma H; Tian R; Li H; Sun H; Lu G; Liu R; Wang Z
Biomed Eng Online; 2021 Nov; 20(1):112. PubMed ID: 34794443
[TBL] [Abstract][Full Text] [Related]
12. Breast ultrasound tumor image classification using image decomposition and fusion based on adaptive multi-model spatial feature fusion.
Zhuang Z; Yang Z; Raj ANJ; Wei C; Jin P; Zhuang S
Comput Methods Programs Biomed; 2021 Sep; 208():106221. PubMed ID: 34144251
[TBL] [Abstract][Full Text] [Related]
13. An attention-supervised full-resolution residual network for the segmentation of breast ultrasound images.
Qu X; Shi Y; Hou Y; Jiang J
Med Phys; 2020 Nov; 47(11):5702-5714. PubMed ID: 32964449
[TBL] [Abstract][Full Text] [Related]
14. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.
Samala RK; Chan HP; Hadjiiski L; Helvie MA; Wei J; Cha K
Med Phys; 2016 Dec; 43(12):6654. PubMed ID: 27908154
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks.
Moon WK; Lee YW; Ke HH; Lee SH; Huang CS; Chang RF
Comput Methods Programs Biomed; 2020 Jul; 190():105361. PubMed ID: 32007839
[TBL] [Abstract][Full Text] [Related]
16. Deep learning-based immunohistochemical estimation of breast cancer via ultrasound image applications.
Yan D; Zhao Z; Duan J; Qu J; Shi L; Wang Q; Zhang H
Front Oncol; 2023; 13():1263685. PubMed ID: 38264739
[TBL] [Abstract][Full Text] [Related]
17. Semi-automatic breast ultrasound image segmentation based on mean shift and graph cuts.
Zhou Z; Wu W; Wu S; Tsui PH; Lin CC; Zhang L; Wang T
Ultrason Imaging; 2014 Oct; 36(4):256-76. PubMed ID: 24759696
[TBL] [Abstract][Full Text] [Related]
18. A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images.
Qu X; Lu H; Tang W; Wang S; Zheng D; Hou Y; Jiang J
Med Phys; 2022 Sep; 49(9):5787-5798. PubMed ID: 35866492
[TBL] [Abstract][Full Text] [Related]
19. CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images.
Tasnim J; Hasan MK
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38056017
[No Abstract] [Full Text] [Related]
20. Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features.
Daoud MI; Abdel-Rahman S; Bdair TM; Al-Najar MS; Al-Hawari FH; Alazrai R
Sensors (Basel); 2020 Nov; 20(23):. PubMed ID: 33265900
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]