BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 33465520)

  • 1. A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset.
    Rahman A; Zunair H; Reme TR; Rahman MS; Mahdy MRC
    Tissue Cell; 2021 Apr; 69():101473. PubMed ID: 33465520
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images.
    Islam MR; Nahiduzzaman M; Goni MOF; Sayeed A; Anower MS; Ahsan M; Haider J
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746136
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future.
    Ikerionwu C; Ugwuishiwu C; Okpala I; James I; Okoronkwo M; Nnadi C; Orji U; Ebem D; Ike A
    Photodiagnosis Photodyn Ther; 2022 Dec; 40():103198. PubMed ID: 36379305
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Malaria parasite classification framework using a novel channel squeezed and boosted CNN.
    Khan SH; Shah NS; Nuzhat R; Majid A; Alquhayz H; Khan A
    Microscopy (Oxf); 2022 Oct; 71(5):271-282. PubMed ID: 35640304
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks.
    Casado-García Á; Domínguez C; García-Domínguez M; Heras J; Inés A; Mata E; Pascual V
    BMC Bioinformatics; 2019 Jun; 20(1):323. PubMed ID: 31195959
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears.
    Yang F; Poostchi M; Yu H; Zhou Z; Silamut K; Yu J; Maude RJ; Jaeger S; Antani S
    IEEE J Biomed Health Inform; 2020 May; 24(5):1427-1438. PubMed ID: 31545747
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models.
    Abdurahman F; Fante KA; Aliy M
    BMC Bioinformatics; 2021 Mar; 22(1):112. PubMed ID: 33685401
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-stage malaria parasite recognition by deep learning.
    Li S; Du Z; Meng X; Zhang Y
    Gigascience; 2021 Jun; 10(6):. PubMed ID: 34137821
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures.
    Cao Z; Duan L; Yang G; Yue T; Chen Q
    BMC Med Imaging; 2019 Jul; 19(1):51. PubMed ID: 31262255
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis.
    Loddo A; Fadda C; Di Ruberto C
    J Imaging; 2022 Mar; 8(3):. PubMed ID: 35324621
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Image classification of unlabeled malaria parasites in red blood cells.
    Zheng Zhang ; Ong LL; Kong Fang ; Matthew A; Dauwels J; Ming Dao ; Asada H
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3981-3984. PubMed ID: 28269157
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computational Models-Based Detection of Peripheral Malarial Parasites in Blood Smears.
    Alharbi AH; Aravinda CV; Shetty J; Jabarulla MY; Sudeepa KB; Singh SK
    Contrast Media Mol Imaging; 2022; 2022():9171343. PubMed ID: 35800239
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An automated malaria cells detection from thin blood smear images using deep learning.
    Sukumarran D; Hasikin K; Mohd Khairuddin AS; Ngui R; Wan Sulaiman WY; Vythilingam I; Divis PCS
    Trop Biomed; 2023 Jun; 40(2):208-219. PubMed ID: 37650409
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiclass malaria parasite recognition based on transformer models and a generative adversarial network.
    Tan D; Liang X
    Sci Rep; 2023 Oct; 13(1):17136. PubMed ID: 37816938
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
    Bajwa MN; Malik MI; Siddiqui SA; Dengel A; Shafait F; Neumeier W; Ahmed S
    BMC Med Inform Decis Mak; 2019 Jul; 19(1):136. PubMed ID: 31315618
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Melanoma detection using adversarial training and deep transfer learning.
    Zunair H; Ben Hamza A
    Phys Med Biol; 2020 Jul; 65(13):135005. PubMed ID: 32252036
    [TBL] [Abstract][Full Text] [Related]  

  • 18. TEM virus images: Benchmark dataset and deep learning classification.
    Matuszewski DJ; Sintorn IM
    Comput Methods Programs Biomed; 2021 Sep; 209():106318. PubMed ID: 34375851
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fully automated detection of retinal disorders by image-based deep learning.
    Li F; Chen H; Liu Z; Zhang X; Wu Z
    Graefes Arch Clin Exp Ophthalmol; 2019 Mar; 257(3):495-505. PubMed ID: 30610422
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Generative Adversarial Network for Medical Images (MI-GAN).
    Iqbal T; Ali H
    J Med Syst; 2018 Oct; 42(11):231. PubMed ID: 30315368
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.