139 related articles for article (PubMed ID: 33961552)
1. Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos.
Chen C; Wang Y; Niu J; Liu X; Li Q; Gong X
IEEE Trans Med Imaging; 2021 Sep; 40(9):2439-2451. PubMed ID: 33961552
[TBL] [Abstract][Full Text] [Related]
2. Deep learning-based classification of breast lesions using dynamic ultrasound video.
Zhao G; Kong D; Xu X; Hu S; Li Z; Tian J
Eur J Radiol; 2023 Aug; 165():110885. PubMed ID: 37290361
[TBL] [Abstract][Full Text] [Related]
3. Domain knowledge-guided adversarial adaptive fusion of hybrid breast ultrasound data.
Gong X; Yuan S; Xiang Y; Fan L; Zhou H
Comput Biol Med; 2023 Sep; 164():107256. PubMed ID: 37473565
[TBL] [Abstract][Full Text] [Related]
4. Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: From static images to CEUS video analysis.
Zhu JY; He HL; Lin ZM; Zhao JQ; Jiang XC; Liang ZH; Huang XP; Bao HW; Huang PT; Chen F
Front Oncol; 2022; 12():951973. PubMed ID: 36185229
[TBL] [Abstract][Full Text] [Related]
5. Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasound.
Wang Q; Chen H; Luo G; Li B; Shang H; Shao H; Sun S; Wang Z; Wang K; Cheng W
Eur Radiol; 2022 Oct; 32(10):7163-7172. PubMed ID: 35488916
[TBL] [Abstract][Full Text] [Related]
6. A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.
Zhu YC; AlZoubi A; Jassim S; Jiang Q; Zhang Y; Wang YB; Ye XD; DU H
Ultrasonics; 2021 Feb; 110():106300. PubMed ID: 33232887
[TBL] [Abstract][Full Text] [Related]
7. FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images.
Cui W; Peng Y; Yuan G; Cao W; Cao Y; Lu Z; Ni X; Yan Z; Zheng J
Med Phys; 2022 Jan; 49(1):144-157. PubMed ID: 34766623
[TBL] [Abstract][Full Text] [Related]
8. Channel Attention Module With Multiscale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image.
Lee H; Park J; Hwang JY
IEEE Trans Ultrason Ferroelectr Freq Control; 2020 Jul; 67(7):1344-1353. PubMed ID: 32054578
[TBL] [Abstract][Full Text] [Related]
9. Principal component regression-based contrast-enhanced ultrasound evaluation system for the management of BI-RADS US 4A breast masses: objective assistance for radiologists.
Lin ZM; Chen JF; Xu FT; Liu CM; Chen JS; Wang Y; Zhang C; Huang PT
Ultrasound Med Biol; 2021 Jul; 47(7):1737-1746. PubMed ID: 33838937
[TBL] [Abstract][Full Text] [Related]
10. Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.
Fujioka T; Kubota K; Mori M; Kikuchi Y; Katsuta L; Kasahara M; Oda G; Ishiba T; Nakagawa T; Tateishi U
Jpn J Radiol; 2019 Jun; 37(6):466-472. PubMed ID: 30888570
[TBL] [Abstract][Full Text] [Related]
11. Homogeneously enhancing breast lesions on contrast enhanced US: differential diagnosis by conventional and contrast enhanced US findings.
Fujimitsu R; Shimakura M; Urakawa H; Morita A; Shinagawa Y; Sakamoto K; Yoshimitsu K
Jpn J Radiol; 2016 Jul; 34(7):508-14. PubMed ID: 27142527
[TBL] [Abstract][Full Text] [Related]
12. Predicting the Efficacy of Neoadjuvant Chemotherapy for Pancreatic Cancer Using Deep Learning of Contrast-Enhanced Ultrasound Videos.
Shao Y; Dang Y; Cheng Y; Gui Y; Chen X; Chen T; Zeng Y; Tan L; Zhang J; Xiao M; Yan X; Lv K; Zhou Z
Diagnostics (Basel); 2023 Jun; 13(13):. PubMed ID: 37443577
[TBL] [Abstract][Full Text] [Related]
13. The role of contrast-enhanced ultrasound in the diagnosis of malignant non-mass breast lesions and exploration of diagnostic criteria.
Zhang F; Jin L; Li G; Jia C; Shi Q; Du L; Wu R
Br J Radiol; 2021 Apr; 94(1120):20200880. PubMed ID: 33560894
[TBL] [Abstract][Full Text] [Related]
14. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.
Zhang E; Seiler S; Chen M; Lu W; Gu X
Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605
[TBL] [Abstract][Full Text] [Related]
15. Diagnosis of sub-centimetre breast lesions: combining BI-RADS-US with strain elastography and contrast-enhanced ultrasound-a preliminary study in China.
Xiao X; Jiang Q; Wu H; Guan X; Qin W; Luo B
Eur Radiol; 2017 Jun; 27(6):2443-2450. PubMed ID: 27761708
[TBL] [Abstract][Full Text] [Related]
16. Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study.
Guang Y; He W; Ning B; Zhang H; Yin C; Zhao M; Nie F; Huang P; Zhang RF; Yong Q; Guo Y; Yuan J; Wang Y; Yuan L; Ruan L; Yu T; Song H; Zhang Y
BMJ Open; 2021 Aug; 11(8):e047528. PubMed ID: 34452961
[TBL] [Abstract][Full Text] [Related]
17. A novel approach with dual-sampling convolutional neural network for ultrasound image classification of breast tumors.
Xie J; Song X; Zhang W; Dong Q; Wang Y; Li F; Wan C
Phys Med Biol; 2020 Dec; 65(24):. PubMed ID: 33120380
[TBL] [Abstract][Full Text] [Related]
18. Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study.
Jiang M; Zhang D; Tang SC; Luo XM; Chuan ZR; Lv WZ; Jiang F; Ni XJ; Cui XW; Dietrich CF
Eur Radiol; 2021 Jun; 31(6):3673-3682. PubMed ID: 33226454
[TBL] [Abstract][Full Text] [Related]
19. Meta-Analysis: Contrast-Enhanced Ultrasound Versus Conventional Ultrasound for Differentiation of Benign and Malignant Breast Lesions.
Li Q; Hu M; Chen Z; Li C; Zhang X; Song Y; Xiang F
Ultrasound Med Biol; 2018 May; 44(5):919-929. PubMed ID: 29530434
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]