BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 38416959)

  • 1. Artificial Intelligence for Breast US.
    Villa-Camacho JC; Baikpour M; Chou SS
    J Breast Imaging; 2023 Feb; 5(1):11-20. PubMed ID: 38416959
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review.
    Jalalian A; Mashohor SB; Mahmud HR; Saripan MI; Ramli AR; Karasfi B
    Clin Imaging; 2013; 37(3):420-6. PubMed ID: 23153689
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Validation of radiologists' findings by computer-aided detection (CAD) software in breast cancer detection with automated 3D breast ultrasound: a concept study in implementation of artificial intelligence software.
    van Zelst JC; Tan T; Mann RM; Karssemeijer N
    Acta Radiol; 2020 Mar; 61(3):312-320. PubMed ID: 31324132
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A computer-assisted system for handheld whole-breast ultrasonography.
    Šroubek F; Bartoš M; Schier J; Bílková Z; Zitová B; Vydra J; Macová I; Daneš J; Lambert L
    Int J Comput Assist Radiol Surg; 2019 Mar; 14(3):509-516. PubMed ID: 30673925
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Can artificial intelligence replace ultrasound as a complementary tool to mammogram for the diagnosis of the breast cancer?
    Mansour S; Kamal R; Hashem L; AlKalaawy B
    Br J Radiol; 2021 Dec; 94(1128):20210820. PubMed ID: 34613796
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computational Radiology in Breast Cancer Screening and Diagnosis Using Artificial Intelligence.
    Tran WT; Sadeghi-Naini A; Lu FI; Gandhi S; Meti N; Brackstone M; Rakovitch E; Curpen B
    Can Assoc Radiol J; 2021 Feb; 72(1):98-108. PubMed ID: 32865001
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A review of computer aided detection in mammography.
    Katzen J; Dodelzon K
    Clin Imaging; 2018; 52():305-309. PubMed ID: 30216858
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated Breast Ultrasound Screening for Dense Breasts.
    Kim SH; Kim HH; Moon WK
    Korean J Radiol; 2020 Jan; 21(1):15-24. PubMed ID: 31920025
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of handheld ultrasound and automated breast ultrasound in women recalled after mammography screening.
    Hellgren R; Dickman P; Leifland K; Saracco A; Hall P; Celebioglu F
    Acta Radiol; 2017 May; 58(5):515-520. PubMed ID: 27565633
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net.
    Oh K; Lee SE; Kim EK
    Sci Rep; 2023 Dec; 13(1):22625. PubMed ID: 38114666
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Review of Artificial Intelligence in Breast Imaging.
    Al-Karawi D; Al-Zaidi S; Helael KA; Obeidat N; Mouhsen AM; Ajam T; Alshalabi BA; Salman M; Ahmed MH
    Tomography; 2024 May; 10(5):705-726. PubMed ID: 38787015
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Outcomes of Return to Routine Screening for BI-RADS 3 Lesions Detected at Supplemental Automated Whole-Breast Ultrasound in Women With Dense Breasts: A Prospective Study.
    Barr RG; DeSivestri A; Golatta M
    AJR Am J Roentgenol; 2021 Dec; 217(6):1313-1321. PubMed ID: 34259039
    [No Abstract]   [Full Text] [Related]  

  • 13. Artificial intelligence in breast ultrasound: application in clinical practice.
    Fruchtman Brot H; Mango VL
    Ultrasonography; 2024 Jan; 43(1):3-14. PubMed ID: 38109894
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of automated versus hand-held breast US in supplemental screening in asymptomatic women with dense breasts: is there a difference regarding woman preference, lesion detection and lesion characterization?
    Tutar B; Esen Icten G; Guldogan N; Kara H; Arıkan AE; Tutar O; Uras C
    Arch Gynecol Obstet; 2020 May; 301(5):1257-1265. PubMed ID: 32215718
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts.
    van Zelst JCM; Tan T; Clauser P; Domingo A; Dorrius MD; Drieling D; Golatta M; Gras F; de Jong M; Pijnappel R; Rutten MJCM; Karssemeijer N; Mann RM
    Eur Radiol; 2018 Jul; 28(7):2996-3006. PubMed ID: 29417251
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Performance of Supplemental Imaging Modalities for Breast Cancer in Women With Dense Breasts: Findings From an Umbrella Review and Primary Studies Analysis.
    Lobig F; Caleyachetty A; Forrester L; Morris E; Newstead G; Harris J; Blankenburg M
    Clin Breast Cancer; 2023 Jul; 23(5):478-490. PubMed ID: 37202338
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Breast density implications and supplemental screening.
    Vourtsis A; Berg WA
    Eur Radiol; 2019 Apr; 29(4):1762-1777. PubMed ID: 30255244
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Three-dimensional automated breast ultrasound: Technical aspects and first results.
    Vourtsis A
    Diagn Interv Imaging; 2019 Oct; 100(10):579-592. PubMed ID: 30962169
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Supplemental breast cancer-screening ultrasonography in women with dense breasts: a systematic review and meta-analysis.
    Yuan WH; Hsu HC; Chen YY; Wu CH
    Br J Cancer; 2020 Aug; 123(4):673-688. PubMed ID: 32528118
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Non-calcified ductal carcinoma in situ of the breast: comparison of diagnostic accuracy of digital breast tomosynthesis, digital mammography, and ultrasonography.
    Su X; Lin Q; Cui C; Xu W; Wei Z; Fei J; Li L
    Breast Cancer; 2017 Jul; 24(4):562-570. PubMed ID: 27837442
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.