BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 38608320)

  • 1. Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network.
    Khan S; Sajjad M; Abbas N; Escorcia-Gutierrez J; Gamarra M; Muhammad K
    Comput Biol Med; 2024 May; 174():108146. PubMed ID: 38608320
    [TBL] [Abstract][Full Text] [Related]  

  • 2. White blood cells detection and classification based on regional convolutional neural networks.
    Kutlu H; Avci E; Özyurt F
    Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
    [TBL] [Abstract][Full Text] [Related]  

  • 3. WBC image classification and generative models based on convolutional neural network.
    Jung C; Abuhamad M; Mohaisen D; Han K; Nyang D
    BMC Med Imaging; 2022 May; 22(1):94. PubMed ID: 35596153
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Brain tumor classification for MRI images using dual-discriminator conditional generative adversarial network.
    Selvi T K; Sumaiya Begum A; Poonkuzhali P; Aarthi R
    Electromagn Biol Med; 2024 Apr; 43(1-2):81-94. PubMed ID: 38461438
    [TBL] [Abstract][Full Text] [Related]  

  • 5. WBC-based segmentation and classification on microscopic images: a minor improvement.
    Lam XH; Ng KW; Yoong YJ; Ng SB
    F1000Res; 2021; 10():1168. PubMed ID: 35399225
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Human peripheral blood leukocyte classification method based on convolutional neural network and data augmentation.
    Wang Y; Cao Y
    Med Phys; 2020 Jan; 47(1):142-151. PubMed ID: 31691975
    [TBL] [Abstract][Full Text] [Related]  

  • 7. White blood cells identification system based on convolutional deep neural learning networks.
    Shahin AI; Guo Y; Amin KM; Sharawi AA
    Comput Methods Programs Biomed; 2019 Jan; 168():69-80. PubMed ID: 29173802
    [TBL] [Abstract][Full Text] [Related]  

  • 8. One-stage and lightweight CNN detection approach with attention: Application to WBC detection of microscopic images.
    Han Z; Huang H; Lu D; Fan Q; Ma C; Chen X; Gu Q; Chen Q
    Comput Biol Med; 2023 Mar; 154():106606. PubMed ID: 36706565
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study.
    Hegde RB; Prasad K; Hebbar H; Singh BMK
    Australas Phys Eng Sci Med; 2019 Jun; 42(2):627-638. PubMed ID: 30830652
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Combining DC-GAN with ResNet for blood cell image classification.
    Ma L; Shuai R; Ran X; Liu W; Ye C
    Med Biol Eng Comput; 2020 Jun; 58(6):1251-1264. PubMed ID: 32221797
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.
    Hazra D; Byun YC; Kim WJ
    Comput Methods Programs Biomed; 2022 Sep; 224():107019. PubMed ID: 35878483
    [TBL] [Abstract][Full Text] [Related]  

  • 12. LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks.
    Fan H; Zhang F; Xi L; Li Z; Liu G; Xu Y
    J Biophotonics; 2019 Jul; 12(7):e201800488. PubMed ID: 30891934
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep learning approach to peripheral leukocyte recognition.
    Wang Q; Bi S; Sun M; Wang Y; Wang D; Yang S
    PLoS One; 2019; 14(6):e0218808. PubMed ID: 31237896
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Tile-based microscopic image processing for malaria screening using a deep learning approach.
    Shewajo FA; Fante KA
    BMC Med Imaging; 2023 Mar; 23(1):39. PubMed ID: 36949382
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism.
    Chen H; Liu J; Hua C; Feng J; Pang B; Cao D; Li C
    BMC Bioinformatics; 2022 Jul; 23(1):282. PubMed ID: 35840897
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan).
    Barrera K; Merino A; Molina A; Rodellar J
    Comput Methods Programs Biomed; 2023 Feb; 229():107314. PubMed ID: 36565666
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Computational Intelligence Method for Detection of White Blood Cells Using Hybrid of Convolutional Deep Learning and SIFT.
    Manthouri M; Aghajari Z; Safary S
    Comput Math Methods Med; 2022; 2022():9934144. PubMed ID: 35069796
    [TBL] [Abstract][Full Text] [Related]  

  • 18. New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images.
    Tavakoli S; Ghaffari A; Kouzehkanan ZM; Hosseini R
    Sci Rep; 2021 Sep; 11(1):19428. PubMed ID: 34593873
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic classification of acute lymphoblastic leukemia cells and lymphocyte subtypes based on a novel convolutional neural network.
    MoradiAmin M; Yousefpour M; Samadzadehaghdam N; Ghahari L; Ghorbani M; Mafi M
    Microsc Res Tech; 2024 Jul; 87(7):1615-1626. PubMed ID: 38445461
    [TBL] [Abstract][Full Text] [Related]  

  • 20. GFNB: Gini index-based Fuzzy Naive Bayes and blast cell segmentation for leukemia detection using multi-cell blood smear images.
    Das BK; Dutta HS
    Med Biol Eng Comput; 2020 Nov; 58(11):2789-2803. PubMed ID: 32929660
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.