BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

139 related articles for article (PubMed ID: 23683087)

  • 41. [Application of multispectral imaging analysis system in quantitative analysis of immunohistochemical images of breast cancer].
    Liu W; Wang L; Chen J; Yuan J; Yang F; Xiang Q; Yang G; Qu A; Liu J; Li Y
    Zhonghua Bing Li Xue Za Zhi; 2015 Oct; 44(10):743-6. PubMed ID: 26702535
    [No Abstract]   [Full Text] [Related]  

  • 42. A Picture is Worth……Turning into Quantitative Data!
    Allen Foegeding E
    J Food Sci; 2015 Sep; 80(9):3. PubMed ID: 26372840
    [No Abstract]   [Full Text] [Related]  

  • 43. Image Processing in Biomedical Diagnosis.
    Koprowski R; Bocklitz T
    J Biophotonics; 2016 May; 9(5):434-5. PubMed ID: 27159848
    [No Abstract]   [Full Text] [Related]  

  • 44. On the Frontiers of Breast Cancer Diagnosis and Treatment: Current and Future Directions in a Rapidly Changing Field.
    Efird JT; Jindal C; Biswas T
    Medicina (Kaunas); 2022 Jul; 58(8):. PubMed ID: 36013493
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study.
    Gierach GL; Li H; Loud JT; Greene MH; Chow CK; Lan L; Prindiville SA; Eng-Wong J; Soballe PW; Giambartolomei C; Mai PL; Galbo CE; Nichols K; Calzone KA; Olopade OI; Gail MH; Giger ML
    Breast Cancer Res; 2014; 16(4):424. PubMed ID: 25159706
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
    Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
    Breast Cancer Res; 2017 May; 19(1):57. PubMed ID: 28521821
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Applications and limitations of radiomics.
    Yip SS; Aerts HJ
    Phys Med Biol; 2016 Jul; 61(13):R150-66. PubMed ID: 27269645
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size.
    Aliniya P; Nicolescu M; Nicolescu M; Bebis G
    J Imaging; 2024 Jan; 10(1):. PubMed ID: 38249005
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Deep learning algorithm using bispectrum analysis energy feature maps based on ultrasound radiofrequency signals to detect breast cancer.
    Wang Q; Jia X; Luo T; Yu J; Xia S
    Front Oncol; 2023; 13():1272427. PubMed ID: 38179175
    [TBL] [Abstract][Full Text] [Related]  

  • 50. U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging.
    Douglas L; Bhattacharjee R; Fuhrman J; Drukker K; Hu Q; Edwards A; Sheth D; Giger M
    J Med Imaging (Bellingham); 2023 Nov; 10(6):064502. PubMed ID: 37990686
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Secretome analysis of breast cancer cells to identify potential target proteins of
    Swami S; Mughees M; Mangangcha IR; Kauser S; Wajid S
    Front Cell Dev Biol; 2023; 11():1247632. PubMed ID: 37900279
    [No Abstract]   [Full Text] [Related]  

  • 52. Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records.
    Trang NTH; Long KQ; An PL; Dang TN
    Diagnostics (Basel); 2023 Jan; 13(3):. PubMed ID: 36766450
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Development and validation of a four-dimensional registration technique for DCE breast MRI.
    Mattusch C; Bick U; Michallek F
    Insights Imaging; 2023 Jan; 14(1):17. PubMed ID: 36701001
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Automatic mass detection in mammograms using deep convolutional neural networks.
    Agarwal R; Diaz O; Lladó X; Yap MH; Martí R
    J Med Imaging (Bellingham); 2019 Jul; 6(3):031409. PubMed ID: 35834317
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review.
    Li R; Xiao C; Huang Y; Hassan H; Huang B
    Diagnostics (Basel); 2022 Jan; 12(2):. PubMed ID: 35204388
    [TBL] [Abstract][Full Text] [Related]  

  • 56. A holistic overview of deep learning approach in medical imaging.
    Yousef R; Gupta G; Yousef N; Khari M
    Multimed Syst; 2022; 28(3):881-914. PubMed ID: 35079207
    [TBL] [Abstract][Full Text] [Related]  

  • 57. 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]  

  • 58. The augmented radiologist: artificial intelligence in the practice of radiology.
    Sorantin E; Grasser MG; Hemmelmayr A; Tschauner S; Hrzic F; Weiss V; Lacekova J; Holzinger A
    Pediatr Radiol; 2022 Oct; 52(11):2074-2086. PubMed ID: 34664088
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Lessons learned in transitioning to AI in the medical imaging of COVID-19.
    El Naqa I; Li H; Fuhrman J; Hu Q; Gorre N; Chen W; Giger ML
    J Med Imaging (Bellingham); 2021 Jan; 8(Suppl 1):010902-10902. PubMed ID: 34646912
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Automatic Pectoral Muscle Removal and Microcalcification Localization in Digital Mammograms.
    Gómez KAH; Echeverry-Correa JD; Gutiérrez ÁÁO
    Healthc Inform Res; 2021 Jul; 27(3):222-230. PubMed ID: 34384204
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.