BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

232 related articles for article (PubMed ID: 29679847)

  • 1. Deep learning in mammography and breast histology, an overview and future trends.
    Hamidinekoo A; Denton E; Rampun A; Honnor K; Zwiggelaar R
    Med Image Anal; 2018 Jul; 47():45-67. PubMed ID: 29679847
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review.
    Ramadan SZ
    J Healthc Eng; 2020; 2020():9162464. PubMed ID: 32300474
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning approaches for breast cancer detection in histopathology images: A review.
    Priya C V L; V G B; B R V; Ramachandran S
    Cancer Biomark; 2024; 40(1):1-25. PubMed ID: 38517775
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detecting and classifying lesions in mammograms with Deep Learning.
    Ribli D; Horváth A; Unger Z; Pollner P; Csabai I
    Sci Rep; 2018 Mar; 8(1):4165. PubMed ID: 29545529
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of Breast Cancer Using Histopathological Image Classification Dataset with Deep Learning Techniques.
    Reshma VK; Arya N; Ahmad SS; Wattar I; Mekala S; Joshi S; Krah D
    Biomed Res Int; 2022; 2022():8363850. PubMed ID: 35281604
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparative analysis of deep learning methods for lesion detection on full screening mammography.
    Ribeiro RF; Torres HR; Oliveira B; Morais P; Vilaca JL
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082575
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning for computer-aided abnormalities classification in digital mammogram: A data-centric perspective.
    Nalla V; Pouriyeh S; Parizi RM; Trivedi H; Sheng QZ; Hwang I; Seyyed-Kalantari L; Woo M
    Curr Probl Diagn Radiol; 2024; 53(3):346-352. PubMed ID: 38302303
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A machine and human reader study on AI diagnosis model safety under attacks of adversarial images.
    Zhou Q; Zuley M; Guo Y; Yang L; Nair B; Vargo A; Ghannam S; Arefan D; Wu S
    Nat Commun; 2021 Dec; 12(1):7281. PubMed ID: 34907229
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using multidimensional mutual information to prioritize mammographic features for breast cancer diagnosis.
    Wu Y; Vanness DJ; Burnside ES
    AMIA Annu Symp Proc; 2013; 2013():1534-43. PubMed ID: 24551425
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The effect of variable labels on deep learning models trained to predict breast density.
    Squires S; Harkness EF; Evans DG; Astley SM
    Biomed Phys Eng Express; 2023 Apr; 9(3):. PubMed ID: 37023727
    [No Abstract]   [Full Text] [Related]  

  • 11. A Review of Computer-Aided Expert Systems for Breast Cancer Diagnosis.
    Liew XY; Hameed N; Clos J
    Cancers (Basel); 2021 Jun; 13(11):. PubMed ID: 34199444
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning applications for kidney histology analysis.
    Pilva P; Bülow R; Boor P
    Curr Opin Nephrol Hypertens; 2024 May; 33(3):291-297. PubMed ID: 38411024
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Can machine learning predict cardiac risk using mammography?
    Lip G; O'Regan DP
    Eur Heart J Cardiovasc Imaging; 2024 Mar; 25(4):467-468. PubMed ID: 38262145
    [No Abstract]   [Full Text] [Related]  

  • 14. Publisher Correction: Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders.
    Lee HT; Cheon HR; Lee SH; Shim M; Hwang HJ
    Sci Rep; 2024 Jan; 14(1):2172. PubMed ID: 38272974
    [No Abstract]   [Full Text] [Related]  

  • 15. Deep convolutional neural networks for mammography: advances, challenges and applications.
    Abdelhafiz D; Yang C; Ammar R; Nabavi S
    BMC Bioinformatics; 2019 Jun; 20(Suppl 11):281. PubMed ID: 31167642
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Breast Cancer Detection Using Infrared Thermal Imaging and a Deep Learning Model.
    Mambou SJ; Maresova P; Krejcar O; Selamat A; Kuca K
    Sensors (Basel); 2018 Aug; 18(9):. PubMed ID: 30149621
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. CAD and AI for breast cancer-recent development and challenges.
    Chan HP; Samala RK; Hadjiiski LM
    Br J Radiol; 2020 Apr; 93(1108):20190580. PubMed ID: 31742424
    [TBL] [Abstract][Full Text] [Related]  

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

    [Next]    [New Search]
    of 12.