BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 38424774)

  • 1. Radiomics: A Primer for Breast Radiologists.
    Grimm LJ
    J Breast Imaging; 2021 May; 3(3):276-287. PubMed ID: 38424774
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review.
    Hussain S; Lafarga-Osuna Y; Ali M; Naseem U; Ahmed M; Tamez-Peña JG
    BMC Bioinformatics; 2023 Oct; 24(1):401. PubMed ID: 37884877
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial intelligence in breast imaging.
    Le EPV; Wang Y; Huang Y; Hickman S; Gilbert FJ
    Clin Radiol; 2019 May; 74(5):357-366. PubMed ID: 30898381
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.
    Geras KJ; Mann RM; Moy L
    Radiology; 2019 Nov; 293(2):246-259. PubMed ID: 31549948
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence.
    Satake H; Ishigaki S; Ito R; Naganawa S
    Radiol Med; 2022 Jan; 127(1):39-56. PubMed ID: 34704213
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis-a narrative review.
    Cè M; Caloro E; Pellegrino ME; Basile M; Sorce A; Fazzini D; Oliva G; Cellina M
    Explor Target Antitumor Ther; 2022; 3(6):795-816. PubMed ID: 36654817
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography.
    Wang Q; Lin Y; Ding C; Guan W; Zhang X; Jia J; Zhou W; Liu Z; Bai G
    Eur Radiol; 2024 Feb; ():. PubMed ID: 38337068
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art.
    Sechopoulos I; Teuwen J; Mann R
    Semin Cancer Biol; 2021 Jul; 72():214-225. PubMed ID: 32531273
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of the Malignancy of a Breast Lesion Detected on Breast Ultrasound: Radiomics Applied to Clinical Practice.
    Nicosia L; Pesapane F; Bozzini AC; Latronico A; Rotili A; Ferrari F; Signorelli G; Raimondi S; Vignati S; Gaeta A; Bellerba F; Origgi D; De Marco P; Castiglione Minischetti G; Sangalli C; Montesano M; Palma S; Cassano E
    Cancers (Basel); 2023 Feb; 15(3):. PubMed ID: 36765921
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A multi-stage fusion framework to classify breast lesions using deep learning and radiomics features computed from four-view mammograms.
    Jones MA; Sadeghipour N; Chen X; Islam W; Zheng B
    Med Phys; 2023 Dec; 50(12):7670-7683. PubMed ID: 37083190
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Can multi-modal radiomics using pretreatment ultrasound and tomosynthesis predict response to neoadjuvant systemic treatment in breast cancer?
    Cai L; Sidey-Gibbons C; Nees J; Riedel F; Schäfgen B; Togawa R; Killinger K; Heil J; Pfob A; Golatta M
    Eur Radiol; 2024 Apr; 34(4):2560-2573. PubMed ID: 37707548
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis.
    Son J; Lee SE; Kim EK; Kim S
    Sci Rep; 2020 Dec; 10(1):21566. PubMed ID: 33299040
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Overview of radiomics in breast cancer diagnosis and prognostication.
    Tagliafico AS; Piana M; Schenone D; Lai R; Massone AM; Houssami N
    Breast; 2020 Feb; 49():74-80. PubMed ID: 31739125
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Clinical Artificial Intelligence Applications: Breast Imaging.
    Hu Q; Giger ML
    Radiol Clin North Am; 2021 Nov; 59(6):1027-1043. PubMed ID: 34689871
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MRI radiogenomics for intelligent diagnosis of breast tumors and accurate prediction of neoadjuvant chemotherapy responses-a review.
    Yin XX; Hadjiloucas S; Zhang Y; Tian Z
    Comput Methods Programs Biomed; 2022 Feb; 214():106510. PubMed ID: 34852935
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review.
    Horvat N; Bates DDB; Petkovska I
    Abdom Radiol (NY); 2019 Nov; 44(11):3764-3774. PubMed ID: 31055615
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial Intelligence Applications in Breast Imaging: Current Status and Future Directions.
    Taylor CR; Monga N; Johnson C; Hawley JR; Patel M
    Diagnostics (Basel); 2023 Jun; 13(12):. PubMed ID: 37370936
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction.
    Jones MA; Islam W; Faiz R; Chen X; Zheng B
    Front Oncol; 2022; 12():980793. PubMed ID: 36119479
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.