BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

195 related articles for article (PubMed ID: 36685963)

  • 1. Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach.
    Das HS; Das A; Neog A; Mallik S; Bora K; Zhao Z
    Front Genet; 2022; 13():1097207. PubMed ID: 36685963
    [No Abstract]   [Full Text] [Related]  

  • 2. Multi-Instance Classification of Breast Tumor Ultrasound Images Using Convolutional Neural Networks and Transfer Learning.
    Ciobotaru A; Bota MA; Goța DI; Miclea LC
    Bioengineering (Basel); 2023 Dec; 10(12):. PubMed ID: 38136010
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Deep Learning Based Analysis of Histopathological Images of Breast Cancer.
    Xie J; Liu R; Luttrell J; Zhang C
    Front Genet; 2019; 10():80. PubMed ID: 30838023
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Holographic Microwave Image Classification Using a Convolutional Neural Network.
    Wang L
    Micromachines (Basel); 2022 Nov; 13(12):. PubMed ID: 36557348
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network.
    Rahman H; Naik Bukht TF; Ahmad R; Almadhor A; Javed AR
    Comput Intell Neurosci; 2023; 2023():7717712. PubMed ID: 36909966
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A framework for breast cancer classification using Multi-DCNNs.
    Ragab DA; Attallah O; Sharkas M; Ren J; Marshall S
    Comput Biol Med; 2021 Apr; 131():104245. PubMed ID: 33556893
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound.
    Gómez-Flores W; Coelho de Albuquerque Pereira W
    Comput Biol Med; 2020 Nov; 126():104036. PubMed ID: 33059238
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast cancer detection using deep convolutional neural networks and support vector machines.
    Ragab DA; Sharkas M; Marshall S; Ren J
    PeerJ; 2019; 7():e6201. PubMed ID: 30713814
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms.
    Nissar I; Alam S; Masood S; Kashif M
    Comput Methods Programs Biomed; 2024 May; 248():108121. PubMed ID: 38531147
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network.
    Alom MZ; Yakopcic C; Nasrin MS; Taha TM; Asari VK
    J Digit Imaging; 2019 Aug; 32(4):605-617. PubMed ID: 30756265
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging.
    Reyes D; Sánchez J
    Heliyon; 2024 Feb; 10(3):e25468. PubMed ID: 38352765
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DV-DCNN: Dual-view deep convolutional neural network for matching detected masses in mammograms.
    AlGhamdi M; Abdel-Mottaleb M
    Comput Methods Programs Biomed; 2021 Aug; 207():106152. PubMed ID: 34058629
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network.
    Jung H; Kim B; Lee I; Yoo M; Lee J; Ham S; Woo O; Kang J
    PLoS One; 2018; 13(9):e0203355. PubMed ID: 30226841
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning.
    Mahmood T; Li J; Pei Y; Akhtar F
    Biology (Basel); 2021 Sep; 10(9):. PubMed ID: 34571736
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans.
    Gifani P; Shalbaf A; Vafaeezadeh M
    Int J Comput Assist Radiol Surg; 2021 Jan; 16(1):115-123. PubMed ID: 33191476
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated Uterine Fibroids Detection in Ultrasound Images Using Deep Convolutional Neural Networks.
    Shahzad A; Mushtaq A; Sabeeh AQ; Ghadi YY; Mushtaq Z; Arif S; Ur Rehman MZ; Qureshi MF; Jamil F
    Healthcare (Basel); 2023 May; 11(10):. PubMed ID: 37239779
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.