BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

219 related articles for article (PubMed ID: 35981061)

  • 1. MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis From CT Images.
    Joshi AM; Nayak DR
    IEEE J Biomed Health Inform; 2022 Nov; 26(11):5355-5363. PubMed ID: 35981061
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
    V J S; D JF
    Comput Math Methods Med; 2021; 2021():9269173. PubMed ID: 34795794
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network.
    Qi X; Brown LG; Foran DJ; Nosher J; Hacihaliloglu I
    Int J Comput Assist Radiol Surg; 2021 Feb; 16(2):197-206. PubMed ID: 33420641
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network.
    Baghdadi NA; Malki A; Abdelaliem SF; Magdy Balaha H; Badawy M; Elhosseini M
    Comput Biol Med; 2022 May; 144():105383. PubMed ID: 35290811
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method.
    Jia G; Lam HK; Xu Y
    Comput Biol Med; 2021 Jul; 134():104425. PubMed ID: 33971427
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images.
    Paluru N; Dayal A; Jenssen HB; Sakinis T; Cenkeramaddi LR; Prakash J; Yalavarthy PK
    IEEE Trans Neural Netw Learn Syst; 2021 Mar; 32(3):932-946. PubMed ID: 33544680
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Efficient Deep Learning Method for Detection of COVID-19 Infection Using Chest X-ray Images.
    Nayak SR; Nayak DR; Sinha U; Arora V; Pachori RB
    Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611423
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A multi-scale gated multi-head attention depthwise separable CNN model for recognizing COVID-19.
    Hong G; Chen X; Chen J; Zhang M; Ren Y; Zhang X
    Sci Rep; 2021 Sep; 11(1):18048. PubMed ID: 34508120
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An extremely lightweight CNN model for the diagnosis of chest radiographs in resource-constrained environments.
    Kumar G; Sharma N; Paul A
    Med Phys; 2023 Dec; 50(12):7568-7578. PubMed ID: 37665774
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks.
    Attallah O; Ragab DA; Sharkas M
    PeerJ; 2020; 8():e10086. PubMed ID: 33062453
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation.
    Qiu Y; Liu Y; Li S; Xu J
    IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):8570-8584. PubMed ID: 37015641
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detection of COVID-19 Case from Chest CT Images Using Deformable Deep Convolutional Neural Network.
    Foysal M; Hossain ABMA; Yassine A; Hossain MS
    J Healthc Eng; 2023; 2023():4301745. PubMed ID: 36844950
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Transfer Learning for COVID-19 Detection and Lesion Recognition Using Chest CT Images.
    Zhang S; Yuan GC
    Comput Math Methods Med; 2022; 2022():4509394. PubMed ID: 36285284
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generative adversarial network based data augmentation for CNN based detection of Covid-19.
    Gulakala R; Markert B; Stoffel M
    Sci Rep; 2022 Nov; 12(1):19186. PubMed ID: 36357530
    [TBL] [Abstract][Full Text] [Related]  

  • 15. NSCGCN: A novel deep GCN model to diagnosis COVID-19.
    Tang C; Hu C; Sun J; Wang SH; Zhang YD
    Comput Biol Med; 2022 Nov; 150():106151. PubMed ID: 36244303
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based convolutional neural networks.
    Singh D; Kumar V; Vaishali ; Kaur M
    Eur J Clin Microbiol Infect Dis; 2020 Jul; 39(7):1379-1389. PubMed ID: 32337662
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MRFGRO: a hybrid meta-heuristic feature selection method for screening COVID-19 using deep features.
    Dey A; Chattopadhyay S; Singh PK; Ahmadian A; Ferrara M; Senu N; Sarkar R
    Sci Rep; 2021 Dec; 11(1):24065. PubMed ID: 34911977
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.
    Majeed T; Rashid R; Ali D; Asaad A
    Phys Eng Sci Med; 2020 Dec; 43(4):1289-1303. PubMed ID: 33025386
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning.
    Visuña L; Yang D; Garcia-Blas J; Carretero J
    BMC Med Imaging; 2022 Oct; 22(1):178. PubMed ID: 36243705
    [TBL] [Abstract][Full Text] [Related]  

  • 20. COVID-CCD-Net: COVID-19 and colon cancer diagnosis system with optimized CNN hyperparameters using gradient-based optimizer.
    Kiziloluk S; Sert E
    Med Biol Eng Comput; 2022 Jun; 60(6):1595-1612. PubMed ID: 35396625
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.