143 related articles for article (PubMed ID: 37795135)
1. Deep Learning-assisted Diagnosis of Breast Lesions on US Images: A Multivendor, Multicenter Study.
Xiang H; Wang X; Xu M; Zhang Y; Zeng S; Li C; Liu L; Deng T; Tang G; Yan C; Ou J; Lin Q; He J; Sun P; Li A; Chen H; Heng PA; Lin X
Radiol Artif Intell; 2023 Sep; 5(5):e220185. PubMed ID: 37795135
[TBL] [Abstract][Full Text] [Related]
2. Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study.
Gu Y; Xu W; Liu T; An X; Tian J; Ran H; Ren W; Chang C; Yuan J; Kang C; Deng Y; Wang H; Luo B; Guo S; Zhou Q; Xue E; Zhan W; Zhou Q; Li J; Zhou P; Chen M; Gu Y; Chen W; Zhang Y; Li J; Cong L; Zhu L; Wang H; Jiang Y
Eur Radiol; 2023 Apr; 33(4):2954-2964. PubMed ID: 36418619
[TBL] [Abstract][Full Text] [Related]
3. Artificial intelligence-assisted ultrasound image analysis to discriminate early breast cancer in Chinese population: a retrospective, multicentre, cohort study.
Liao J; Gui Y; Li Z; Deng Z; Han X; Tian H; Cai L; Liu X; Tang C; Liu J; Wei Y; Hu L; Niu F; Liu J; Yang X; Li S; Cui X; Wu X; Chen Q; Wan A; Jiang J; Zhang Y; Luo X; Wang P; Cai Z; Chen L
EClinicalMedicine; 2023 Jun; 60():102001. PubMed ID: 37251632
[TBL] [Abstract][Full Text] [Related]
4. Deep learning based on ultrasound images assists breast lesion diagnosis in China: a multicenter diagnostic study.
Gu Y; Xu W; Lin B; An X; Tian J; Ran H; Ren W; Chang C; Yuan J; Kang C; Deng Y; Wang H; Luo B; Guo S; Zhou Q; Xue E; Zhan W; Zhou Q; Li J; Zhou P; Chen M; Gu Y; Chen W; Zhang Y; Li J; Cong L; Zhu L; Wang H; Jiang Y
Insights Imaging; 2022 Jul; 13(1):124. PubMed ID: 35900608
[TBL] [Abstract][Full Text] [Related]
5. A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.
Qian X; Zhang B; Liu S; Wang Y; Chen X; Liu J; Yang Y; Chen X; Wei Y; Xiao Q; Ma J; Shung KK; Zhou Q; Liu L; Chen Z
Eur Radiol; 2020 May; 30(5):3023-3033. PubMed ID: 32006174
[TBL] [Abstract][Full Text] [Related]
6. Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study.
Yang Y; Cairang Y; Jiang T; Zhou J; Zhang L; Qi B; Ma S; Tang L; Xu D; Bu L; Bu R; Jing X; Wang H; Zhou Z; Zhao C; Luo B; Liu L; Guo J; Nima Y; Hua G; Wa Z; Zhang Y; Zhou G; Jiang W; Wang C; De Y; Yu X; Cheng Z; Han Z; Liu F; Dou J; Feng H; Wu C; Wang R; Hu J; Yang Q; Luo Y; Wu J; Fan H; Liang P; Yu J
Lancet Digit Health; 2023 Aug; 5(8):e503-e514. PubMed ID: 37507196
[TBL] [Abstract][Full Text] [Related]
7. Deep learning for the diagnosis of suspicious thyroid nodules based on multimodal ultrasound images.
Tao Y; Yu Y; Wu T; Xu X; Dai Q; Kong H; Zhang L; Yu W; Leng X; Qiu W; Tian J
Front Oncol; 2022; 12():1012724. PubMed ID: 36425556
[TBL] [Abstract][Full Text] [Related]
8. Performance and Reading Time of Automated Breast US with or without Computer-aided Detection.
Yang S; Gao X; Liu L; Shu R; Yan J; Zhang G; Xiao Y; Ju Y; Zhao N; Song H
Radiology; 2019 Sep; 292(3):540-549. PubMed ID: 31210612
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of the Quadri-Planes Method in Computer-Aided Diagnosis of Breast Lesions by Ultrasonography: Prospective Single-Center Study.
Yongping L; Juan Z; Zhou P; Yongfeng Z; Liu W; Shi Y
JMIR Med Inform; 2020 May; 8(5):e18251. PubMed ID: 32369039
[TBL] [Abstract][Full Text] [Related]
10. The role of Shear-Wave elastography in the differentiation of benign and malign non-mass lesions of the breast.
Aslan H; Pourbagher A; Ozen M
Ann Ital Chir; 2018; 89():385-391. PubMed ID: 30569901
[TBL] [Abstract][Full Text] [Related]
11. A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening.
Liu H; Chen Y; Zhang Y; Wang L; Luo R; Wu H; Wu C; Zhang H; Tan W; Yin H; Wang D
Eur Radiol; 2021 Aug; 31(8):5902-5912. PubMed ID: 33496829
[TBL] [Abstract][Full Text] [Related]
12. Improved Productivity Using Deep Learning-assisted Reporting for Lumbar Spine MRI.
Lim DSW; Makmur A; Zhu L; Zhang W; Cheng AJL; Sia DSY; Eide SE; Ong HY; Jagmohan P; Tan WC; Khoo VM; Wong YM; Thian YL; Baskar S; Teo EC; Algazwi DAR; Yap QV; Chan YH; Tan JH; Kumar N; Ooi BC; Yoshioka H; Quek ST; Hallinan JTPD
Radiology; 2022 Oct; 305(1):160-166. PubMed ID: 35699577
[TBL] [Abstract][Full Text] [Related]
13. Deep convolutional neural network for classification of thyroid nodules on ultrasound: Comparison of the diagnostic performance with that of radiologists.
Kim YJ; Choi Y; Hur SJ; Park KS; Kim HJ; Seo M; Lee MK; Jung SL; Jung CK
Eur J Radiol; 2022 Jul; 152():110335. PubMed ID: 35512512
[TBL] [Abstract][Full Text] [Related]
14. Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography.
Ozaki J; Fujioka T; Yamaga E; Hayashi A; Kujiraoka Y; Imokawa T; Takahashi K; Okawa S; Yashima Y; Mori M; Kubota K; Oda G; Nakagawa T; Tateishi U
Jpn J Radiol; 2022 Aug; 40(8):814-822. PubMed ID: 35284996
[TBL] [Abstract][Full Text] [Related]
15. Performance of Computer-Aided Diagnosis in Ultrasonography for Detection of Breast Lesions Less and More Than 2 cm: Prospective Comparative Study.
Yongping L; Zhou P; Juan Z; Yongfeng Z; Liu W; Shi Y
JMIR Med Inform; 2020 Mar; 8(3):e16334. PubMed ID: 32130149
[TBL] [Abstract][Full Text] [Related]
16. A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.
Yala A; Lehman C; Schuster T; Portnoi T; Barzilay R
Radiology; 2019 Jul; 292(1):60-66. PubMed ID: 31063083
[TBL] [Abstract][Full Text] [Related]
17. Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI.
Hu Q; Whitney HM; Li H; Ji Y; Liu P; Giger ML
Radiol Artif Intell; 2021 May; 3(3):e200159. PubMed ID: 34235439
[TBL] [Abstract][Full Text] [Related]
18. Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy.
Zhu Y; Meng Z; Fan X; Duan Y; Jia Y; Dong T; Wang Y; Song J; Tian J; Wang K; Nie F
BMC Med; 2022 Aug; 20(1):269. PubMed ID: 36008835
[TBL] [Abstract][Full Text] [Related]
19. Improved Inception V3 method and its effect on radiologists' performance of tumor classification with automated breast ultrasound system.
Zhang P; Ma Z; Zhang Y; Chen X; Wang G
Gland Surg; 2021 Jul; 10(7):2232-2245. PubMed ID: 34422594
[TBL] [Abstract][Full Text] [Related]
20. Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.
Gao Y; Zeng S; Xu X; Li H; Yao S; Song K; Li X; Chen L; Tang J; Xing H; Yu Z; Zhang Q; Zeng S; Yi C; Xie H; Xiong X; Cai G; Wang Z; Wu Y; Chi J; Jiao X; Qin Y; Mao X; Chen Y; Jin X; Mo Q; Chen P; Huang Y; Shi Y; Wang J; Zhou Y; Ding S; Zhu S; Liu X; Dong X; Cheng L; Zhu L; Cheng H; Cha L; Hao Y; Jin C; Zhang L; Zhou P; Sun M; Xu Q; Chen K; Gao Z; Zhang X; Ma Y; Liu Y; Xiao L; Xu L; Peng L; Hao Z; Yang M; Wang Y; Ou H; Jia Y; Tian L; Zhang W; Jin P; Tian X; Huang L; Wang Z; Liu J; Fang T; Yan D; Cao H; Ma J; Li X; Zheng X; Lou H; Song C; Li R; Wang S; Li W; Zheng X; Chen J; Li G; Chen R; Xu C; Yu R; Wang J; Xu S; Kong B; Xie X; Ma D; Gao Q
Lancet Digit Health; 2022 Mar; 4(3):e179-e187. PubMed ID: 35216752
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
