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 *

118 related articles for article (PubMed ID: 35219070)

  • 1. A comparative assessment of deep object detection models for blood smear analysis.
    Talukdar K; Bora K; Mahanta LB; Das AK
    Tissue Cell; 2022 Jun; 76():101761. PubMed ID: 35219070
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Bio-net dataset: AI-based diagnostic solutions using peripheral blood smear images.
    Shams UA; Javed I; Fizan M; Shah AR; Mustafa G; Zubair M; Massoud Y; Mehmood MQ; Naveed MA
    Blood Cells Mol Dis; 2024 Mar; 105():102823. PubMed ID: 38241949
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. White blood cell detection using saliency detection and CenterNet: A two-stage approach.
    Zheng X; Tang P; Ai L; Liu D; Zhang Y; Wang B
    J Biophotonics; 2023 Mar; 16(3):e202200174. PubMed ID: 36101492
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic Detection and Counting of Blood Cells in Smear Images Using RetinaNet.
    Drałus G; Mazur D; Czmil A
    Entropy (Basel); 2021 Nov; 23(11):. PubMed ID: 34828220
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning approach of automatic identification and counting of blood cells.
    Alam MM; Islam MT
    Healthc Technol Lett; 2019 Aug; 6(4):103-108. PubMed ID: 31531224
    [TBL] [Abstract][Full Text] [Related]  

  • 9. High-Efficiency Classification of White Blood Cells Based on Object Detection.
    Yao J; Huang X; Wei M; Han W; Xu X; Wang R; Chen J; Sun L
    J Healthc Eng; 2021; 2021():1615192. PubMed ID: 34552705
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms.
    Acharya V; Kumar P
    Med Biol Eng Comput; 2019 Aug; 57(8):1783-1811. PubMed ID: 31201595
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mutual Information based hybrid model and deep learning for Acute Lymphocytic Leukemia detection in single cell blood smear images.
    Jha KK; Dutta HS
    Comput Methods Programs Biomed; 2019 Oct; 179():104987. PubMed ID: 31443862
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Images.
    Hegde RB; Prasad K; Hebbar H; Singh BMK
    J Med Syst; 2018 May; 42(6):110. PubMed ID: 29721616
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Classification of white blood cells using capsule networks.
    Baydilli YY; Atila Ü
    Comput Med Imaging Graph; 2020 Mar; 80():101699. PubMed ID: 32000087
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images.
    Rajaraman S; Jaeger S; Antani SK
    PeerJ; 2019; 7():e6977. PubMed ID: 31179181
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A deep learning method for counting white blood cells in bone marrow images.
    Wang D; Hwang M; Jiang WC; Ding K; Chang HC; Hwang KS
    BMC Bioinformatics; 2021 Nov; 22(Suppl 5):94. PubMed ID: 34749635
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Improving blood cells classification in peripheral blood smears using enhanced incremental training.
    Al-Qudah R; Suen CY
    Comput Biol Med; 2021 Apr; 131():104265. PubMed ID: 33621895
    [TBL] [Abstract][Full Text] [Related]  

  • 18. WBC YOLO-ViT: 2 Way - 2 stage white blood cell detection and classification with a combination of YOLOv5 and vision transformer.
    Tarimo SA; Jang MA; Ngasa EE; Shin HB; Shin H; Woo J
    Comput Biol Med; 2024 Feb; 169():107875. PubMed ID: 38154163
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.