BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

397 related articles for article (PubMed ID: 35596153)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 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. Generative adversarial network based data augmentation to improve cervical cell classification model.
    Yu S; Zhang S; Wang B; Dun H; Xu L; Huang X; Shi E; Feng X
    Math Biosci Eng; 2021 Feb; 18(2):1740-1752. PubMed ID: 33757208
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.
    Gherardini M; Mazomenos E; Menciassi A; Stoyanov D
    Comput Methods Programs Biomed; 2020 Aug; 192():105420. PubMed ID: 32171151
    [TBL] [Abstract][Full Text] [Related]  

  • 9. High-content image generation for drug discovery using generative adversarial networks.
    Hussain S; Anees A; Das A; Nguyen BP; Marzuki M; Lin S; Wright G; Singhal A
    Neural Netw; 2020 Dec; 132():353-363. PubMed ID: 32977280
    [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. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology.
    Anand V; Gupta S; Koundal D; Alghamdi WY; Alsharbi BM
    BMC Med Imaging; 2024 Apr; 24(1):83. PubMed ID: 38589793
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
    Shin HC; Roth HR; Gao M; Lu L; Xu Z; Nogues I; Yao J; Mollura D; Summers RM
    IEEE Trans Med Imaging; 2016 May; 35(5):1285-98. PubMed ID: 26886976
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhancing Skin Cancer Classification using Efficient Net B0-B7 through Convolutional Neural Networks and Transfer Learning with Patient-Specific Data.
    K K; S K; K J A; B C
    Asian Pac J Cancer Prev; 2024 May; 25(5):1795-1802. PubMed ID: 38809652
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers.
    Ieracitano C; Mammone N; Paviglianiti A; Morabito FC
    Int J Neural Syst; 2022 Dec; 32(12):2250054. PubMed ID: 36240199
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs.
    Kessler DA; MacKay JW; Crowe VA; Henson FMD; Graves MJ; Gilbert FJ; Kaggie JD
    Comput Med Imaging Graph; 2020 Dec; 86():101793. PubMed ID: 33075675
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network.
    Almezhghwi K; Serte S
    Comput Intell Neurosci; 2020; 2020():6490479. PubMed ID: 32695152
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An integrated and automated testing approach on Inception Restnet-V3 based on convolutional neural network for leukocytes image classification.
    Palanivel S; Nallasamy V
    Biomed Tech (Berl); 2023 Apr; 68(2):165-174. PubMed ID: 36197953
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.