118 related articles for article (PubMed ID: 38369431)
1. Diagnostic Performance of Deep Learning in Video-Based Ultrasonography for Breast Cancer: A Retrospective Multicentre Study.
Chen J; Huang Z; Jiang Y; Wu H; Tian H; Cui C; Shi S; Tang S; Xu J; Xu D; Dong F
Ultrasound Med Biol; 2024 May; 50(5):722-728. PubMed ID: 38369431
[TBL] [Abstract][Full Text] [Related]
2. Application of Deep Learning to Reduce the Rate of Malignancy Among BI-RADS 4A Breast Lesions Based on Ultrasonography.
Zhao Z; Hou S; Li S; Sheng D; Liu Q; Chang C; Chen J; Li J
Ultrasound Med Biol; 2022 Nov; 48(11):2267-2275. PubMed ID: 36055860
[TBL] [Abstract][Full Text] [Related]
3. How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learning.
Lin Q; Zhou Y; Shi S; Zhang Y; Yin S; Liu X; Peng Q; Huang S; Jiang Y; Cui C; She R; Xu J; Dong F
Comput Methods Programs Biomed; 2022 Nov; 226():107170. PubMed ID: 36272307
[TBL] [Abstract][Full Text] [Related]
4. A Comparative Study of Multiple Deep Learning Models Based on Multi-Input Resolution for Breast Ultrasound Images.
Wu H; Ye X; Jiang Y; Tian H; Yang K; Cui C; Shi S; Liu Y; Huang S; Chen J; Xu J; Dong F
Front Oncol; 2022; 12():869421. PubMed ID: 35875151
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study.
Li G; Tian H; Wu H; Huang Z; Yang K; Li J; Luo Y; Shi S; Cui C; Xu J; Dong F
BMC Med Inform Decis Mak; 2023 Sep; 23(1):174. PubMed ID: 37667320
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Leveraging code-free deep learning for pill recognition in clinical settings: A multicenter, real-world study of performance across multiple platforms.
Ashraf AR; Somogyi-Végh A; Merczel S; Gyimesi N; Fittler A
Artif Intell Med; 2024 Apr; 150():102844. PubMed ID: 38553153
[TBL] [Abstract][Full Text] [Related]
8. The Clinical Application of Artificial Intelligence Assisted Contrast-Enhanced Ultrasound on BI-RADS Category 4 Breast Lesions.
Wang Y; Xu Z; Tang L; Zhang Q; Chen M
Acad Radiol; 2023 Sep; 30 Suppl 2():S104-S113. PubMed ID: 37095048
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images.
Salehi M; Mohammadi R; Ghaffari H; Sadighi N; Reiazi R
Br J Radiol; 2021 May; 94(1121):20201263. PubMed ID: 33861150
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Learning technology for detection and grading of cancer tissue using tumour ultrasound images1.
Zhang L; Xu R; Zhao J
J Xray Sci Technol; 2024; 32(1):157-171. PubMed ID: 37424493
[TBL] [Abstract][Full Text] [Related]
13. A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors.
Huang Z; Yang K; Tian H; Wu H; Tang S; Cui C; Shi S; Jiang Y; Chen J; Xu J; Dong F
BMC Med Inform Decis Mak; 2024 Jan; 24(1):1. PubMed ID: 38166852
[TBL] [Abstract][Full Text] [Related]
14. Development of a deep learning-based image eligibility verification system for detecting and filtering out ineligible fundus images: A multicentre study.
Li Z; Jiang J; Zhou H; Zheng Q; Liu X; Chen K; Weng H; Chen W
Int J Med Inform; 2021 Mar; 147():104363. PubMed ID: 33388480
[TBL] [Abstract][Full Text] [Related]
15. Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation.
Sekandi JN; Shi W; Zhu R; Kaggwa P; Mwebaze E; Li S
JMIR AI; 2023; 2(1):. PubMed ID: 38464947
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Evaluation of deep learning-based artificial intelligence techniques for breast cancer detection on mammograms: Results from a retrospective study using a BreastScreen Victoria dataset.
Frazer HM; Qin AK; Pan H; Brotchie P
J Med Imaging Radiat Oncol; 2021 Aug; 65(5):529-537. PubMed ID: 34212526
[TBL] [Abstract][Full Text] [Related]
18. Application of deep learning to establish a diagnostic model of breast lesions using two-dimensional grayscale ultrasound imaging.
Zhang N; Li XT; Ma L; Fan ZQ; Sun YS
Clin Imaging; 2021 Nov; 79():56-63. PubMed ID: 33887507
[TBL] [Abstract][Full Text] [Related]
19. Prediction of axillary lymph node metastasis in early breast cancer patients with ultrasonic videos based deep learning.
Li WB; Du ZC; Liu YJ; Gao JX; Wang JG; Dai Q; Huang WH
Front Oncol; 2023; 13():1219838. PubMed ID: 37719009
[TBL] [Abstract][Full Text] [Related]
20. Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study.
Tian R; Lu G; Tang S; Sang L; Ma H; Qian W; Yang W
Med Eng Phys; 2024 Mar; 125():104117. PubMed ID: 38508797
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
