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 *

139 related articles for article (PubMed ID: 36883063)

  • 1. COVID-19 diagnosis utilizing wavelet-based contrastive learning with chest CT images.
    Wu Y; Dai Q; Lu H
    Chemometr Intell Lab Syst; 2023 May; 236():104799. PubMed ID: 36883063
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images.
    Chen X; Yao L; Zhou T; Dong J; Zhang Y
    Pattern Recognit; 2021 May; 113():107826. PubMed ID: 33518813
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method.
    Yang Z; Zhao L; Wu S; Chen CY
    IEEE J Biomed Health Inform; 2021 Jun; 25(6):1864-1872. PubMed ID: 33739926
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A self-supervised COVID-19 CT recognition system with multiple regularizations.
    Lu H; Dai Q
    Comput Biol Med; 2022 Nov; 150():106149. PubMed ID: 36206697
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images.
    Ullah Z; Usman M; Gwak J
    Expert Syst Appl; 2023 Apr; 216():119475. PubMed ID: 36619348
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images.
    Attallah O
    Digit Health; 2022; 8():20552076221092543. PubMed ID: 35433024
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19.
    Li J; Zhao G; Tao Y; Zhai P; Chen H; He H; Cai T
    Pattern Recognit; 2021 Jun; 114():107848. PubMed ID: 33518812
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis.
    Li Z; Li X; Jin Z; Shen L
    Neural Comput Appl; 2023; 35(15):10717-10731. PubMed ID: 37155461
    [TBL] [Abstract][Full Text] [Related]  

  • 9. "Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images".
    Al-Antari MA; Hua CH; Bang J; Lee S
    Appl Intell (Dordr); 2021; 51(5):2890-2907. PubMed ID: 34764573
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fully automated unified prognosis of Covid-19 chest X-ray/CT scan images using Deep Covix-Net model.
    Vinod DN; Jeyavadhanam BR; Zungeru AM; Prabaharan SRS
    Comput Biol Med; 2021 Sep; 136():104729. PubMed ID: 34365278
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated diagnosis of COVID stages from lung CT images using statistical features in 2-dimensional flexible analytic wavelet transform.
    Patel RK; Kashyap M
    Biocybern Biomed Eng; 2022; 42(3):829-841. PubMed ID: 35791429
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel COVID diagnosis and feature extraction based on discrete wavelet model and classification using X-ray and CT images.
    Tallapragada VVS; Manga NA; Kumar GVP
    Multimed Tools Appl; 2023 Jan; ():1-42. PubMed ID: 36712955
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification.
    Wang Z; Liu Q; Dou Q
    IEEE J Biomed Health Inform; 2020 Oct; 24(10):2806-2813. PubMed ID: 32915751
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning.
    Ahmad S; Ahmad Z; Kim JM
    Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080907
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Contrastive Predictive Coding-Based Classification Framework for Healthcare Sensor Data.
    Ren C; Sun L; Peng D
    J Healthc Eng; 2022; 2022():5649253. PubMed ID: 35340254
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving the Classification Performance of Esophageal Disease on Small Dataset by Semi-supervised Efficient Contrastive Learning.
    Du W; Rao N; Yong J; Wang Y; Hu D; Gan T; Zhu L; Zeng B
    J Med Syst; 2021 Nov; 46(1):4. PubMed ID: 34807297
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CAD systems for COVID-19 diagnosis and disease stage classification by segmentation of infected regions from CT images.
    Alshayeji MH; ChandraBhasi Sindhu S; Abed S
    BMC Bioinformatics; 2022 Jul; 23(1):264. PubMed ID: 35794537
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Tumor Diagnosis against Other Brain Diseases Using T2 MRI Brain Images and CNN Binary Classifier and DWT.
    Papadomanolakis TN; Sergaki ES; Polydorou AA; Krasoudakis AG; Makris-Tsalikis GN; Polydorou AA; Afentakis NM; Athanasiou SA; Vardiambasis IO; Zervakis ME
    Brain Sci; 2023 Feb; 13(2):. PubMed ID: 36831891
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fine-Tuned Siamese Network with Modified Enhanced Super-Resolution GAN Plus Based on Low-Quality Chest X-ray Images for COVID-19 Identification.
    Nneji GU; Cai J; Monday HN; Hossin MA; Nahar S; Mgbejime GT; Deng J
    Diagnostics (Basel); 2022 Mar; 12(3):. PubMed ID: 35328271
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Hybrid Deep Transfer Learning Model With Kernel Metric for COVID-19 Pneumonia Classification Using Chest CT Images.
    Li J; Luo X; Ma H; Zhao W
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(4):2506-2517. PubMed ID: 36279353
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.