These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

147 related articles for article (PubMed ID: 37998094)

  • 1. Breast Cancer Detection with an Ensemble of Deep Learning Networks Using a Consensus-Adaptive Weighting Method.
    Dehghan Rouzi M; Moshiri B; Khoshnevisan M; Akhaee MA; Jaryani F; Salehi Nasab S; Lee M
    J Imaging; 2023 Nov; 9(11):. PubMed ID: 37998094
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms.
    Al-Antari MA; Han SM; Kim TS
    Comput Methods Programs Biomed; 2020 Nov; 196():105584. PubMed ID: 32554139
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning empowered breast cancer diagnosis: Advancements in detection and classification.
    Ahmad J; Akram S; Jaffar A; Ali Z; Bhatti SM; Ahmad A; Rehman SU
    PLoS One; 2024; 19(7):e0304757. PubMed ID: 38990817
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble.
    Hossain MM; Hossain MM; Arefin MB; Akhtar F; Blake J
    Diagnostics (Basel); 2023 Dec; 14(1):. PubMed ID: 38201399
    [TBL] [Abstract][Full Text] [Related]  

  • 6. YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms.
    Su Y; Liu Q; Xie W; Hu P
    Comput Methods Programs Biomed; 2022 Jun; 221():106903. PubMed ID: 35636358
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A divide and conquer approach to maximise deep learning mammography classification accuracies.
    Jaamour A; Myles C; Patel A; Chen SJ; McMillan L; Harris-Birtill D
    PLoS One; 2023; 18(5):e0280841. PubMed ID: 37235566
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
    Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
    Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.
    Al-Masni MA; Al-Antari MA; Park JM; Gi G; Kim TY; Rivera P; Valarezo E; Choi MT; Han SM; Kim TS
    Comput Methods Programs Biomed; 2018 Apr; 157():85-94. PubMed ID: 29477437
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.
    Al-Antari MA; Al-Masni MA; Kim TS
    Adv Exp Med Biol; 2020; 1213():59-72. PubMed ID: 32030663
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Convolutional Neural Networks for breast cancer screening.
    Chougrad H; Zouaki H; Alheyane O
    Comput Methods Programs Biomed; 2018 Apr; 157():19-30. PubMed ID: 29477427
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms.
    Samee NA; Alhussan AA; Ghoneim VF; Atteia G; Alkanhel R; Al-Antari MA; Kadah YM
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808433
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Gastric Cancer Detection with Ensemble Learning on Digital Pathology: Use Case of Gastric Cancer on GasHisSDB Dataset.
    Mudavadkar GR; Deng M; Al-Heejawi SMA; Arora IH; Breggia A; Ahmad B; Christman R; Ryan ST; Amal S
    Diagnostics (Basel); 2024 Aug; 14(16):. PubMed ID: 39202233
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks.
    Baccouche A; Garcia-Zapirain B; Elmaghraby AS
    Sci Rep; 2022 Jul; 12(1):12259. PubMed ID: 35851592
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optimization Algorithm.
    Zahoor S; Shoaib U; Lali IU
    Diagnostics (Basel); 2022 Feb; 12(2):. PubMed ID: 35204646
    [TBL] [Abstract][Full Text] [Related]  

  • 16. YOLO Based Breast Masses Detection and Classification in Full-Field Digital Mammograms.
    Aly GH; Marey M; El-Sayed SA; Tolba MF
    Comput Methods Programs Biomed; 2021 Mar; 200():105823. PubMed ID: 33190942
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Convolutional neural network for automated mass segmentation in mammography.
    Abdelhafiz D; Bi J; Ammar R; Yang C; Nabavi S
    BMC Bioinformatics; 2020 Dec; 21(Suppl 1):192. PubMed ID: 33297952
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm.
    Houssein EH; Emam MM; Ali AA
    Neural Comput Appl; 2022; 34(20):18015-18033. PubMed ID: 35698722
    [TBL] [Abstract][Full Text] [Related]  

  • 19. BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images.
    Montaha S; Azam S; Rafid AKMRH; Ghosh P; Hasan MZ; Jonkman M; De Boer F
    Biology (Basel); 2021 Dec; 10(12):. PubMed ID: 34943262
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A multi-context CNN ensemble for small lesion detection.
    Savelli B; Bria A; Molinara M; Marrocco C; Tortorella F
    Artif Intell Med; 2020 Mar; 103():101749. PubMed ID: 32143786
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.