BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

34 related articles for article (PubMed ID: 33077361)

  • 1. Automatic cell counting from stimulated Raman imaging using deep learning.
    Zhang Q; Yun KK; Wang H; Yoon SW; Lu F; Won D
    PLoS One; 2021; 16(7):e0254586. PubMed ID: 34288972
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization.
    Kim B; Hariyani YS; Cho YH; Park C
    Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33322435
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Virtual Staining, Segmentation, and Classification of Blood Smears for Label-Free Hematology Analysis.
    Kaza N; Ojaghi A; Robles FE
    BME Front; 2022; 2022():9853606. PubMed ID: 37850166
    [No Abstract]   [Full Text] [Related]  

  • 4. Object detection for automatic cancer cell counting in zebrafish xenografts.
    Albuquerque C; Vanneschi L; Henriques R; Castelli M; PĆ³voa V; Fior R; Papanikolaou N
    PLoS One; 2021; 16(11):e0260609. PubMed ID: 34843603
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison between a deep-learning and a pixel-based approach for the automated quantification of HIV target cells in foreskin tissue.
    Shao Z; Buchanan LB; Zuanazzi D; Khan YN; Khan AR; Prodger JL
    Sci Rep; 2024 Jan; 14(1):1985. PubMed ID: 38263439
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Image Analysis Using the Fluorescence Imaging of Nuclear Staining (FINS) Algorithm.
    Bramwell LR; Spencer J; Frankum R; Manni E; Harries LW
    J Imaging Inform Med; 2024 Jun; ():. PubMed ID: 38886291
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated cell counting for Trypan blue-stained cell cultures using machine learning.
    Kuijpers L; van Veen E; van der Pol LA; Dekker NH
    PLoS One; 2023; 18(11):e0291625. PubMed ID: 38015925
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning-assisted co-registration of full-spectral autofluorescence lifetime microscopic images with H&E-stained histology images.
    Wang Q; Fernandes S; Williams GOS; Finlayson N; Akram AR; Dhaliwal K; Hopgood JR; Vallejo M
    Commun Biol; 2022 Oct; 5(1):1119. PubMed ID: 36271298
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated counting of
    Bosch PS; Axelrod JD
    bioRxiv; 2023 May; ():. PubMed ID: 37292877
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy.
    Cheng S; Fu S; Kim YM; Song W; Li Y; Xue Y; Yi J; Tian L
    Sci Adv; 2021 Jan; 7(3):. PubMed ID: 33523908
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CellVisioner: A Generalizable Cell Virtual Staining Toolbox based on Few-Shot Transfer Learning for Mechanobiological Analysis.
    Xu X; Xiao Z; Zhang F; Wang C; Wei B; Wang Y; Cheng B; Jia Y; Li Y; Li B; Guo H; Xu F
    Research (Wash D C); 2023; 6():0285. PubMed ID: 38434246
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated Cell Lineage Reconstruction using Label-Free 4D Microscopy.
    Waliman M; Johnson RL; Natesan G; Tan S; Santella A; Hong RL; Shah PK
    bioRxiv; 2024 Jan; ():. PubMed ID: 38328064
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Noninvasive total counting of cultured cells using a home-use scanner with a pattern sheet.
    Mizuno M; Maeda Y; Sanami S; Matsuzaki T; Yoshikawa HY; Ozeki N; Koga H; Sekiya I
    iScience; 2024 Mar; 27(3):109170. PubMed ID: 38405610
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Author Correction: Efficient automated error detection in medical data using deep-learning and label-clustering.
    Nguyen TV; Diakiw SM; VerMilyea MD; Dinsmore AW; Perugini M; Perugini D; Hall JMM
    Sci Rep; 2023 Dec; 13(1):22672. PubMed ID: 38114580
    [No Abstract]   [Full Text] [Related]  

  • 15. Author Correction: COSMOS: a platform for real-time morphology-based, label-free cell sorting using deep learning.
    Salek M; Li N; Chou HP; Saini K; Jovic A; Jacobs KB; Johnson C; Lu V; Lee EJ; Chang C; Nguyen P; Mei J; Pant KP; Wong-Thai AY; Smith QF; Huang S; Chow R; Cruz J; Walker J; Chan B; Musci TJ; Ashley EA; Masaeli MM
    Commun Biol; 2023 Oct; 6(1):1023. PubMed ID: 37813962
    [No Abstract]   [Full Text] [Related]  

  • 16. YOLOv5-FPN: A Robust Framework for Multi-Sized Cell Counting in Fluorescence Images.
    Aldughayfiq B; Ashfaq F; Jhanjhi NZ; Humayun M
    Diagnostics (Basel); 2023 Jul; 13(13):. PubMed ID: 37443674
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pseudo-nuclear staining of cells by deep learning improves the accuracy of automated cell counting in a label-free cellular population.
    Tsuzuki Y; Sanami S; Sugimoto K; Fujita S
    J Biosci Bioeng; 2021 Feb; 131(2):213-218. PubMed ID: 33077361
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An adaptive digital stain separation method for deep learning-based automatic cell profile counts.
    Dave P; Alahmari S; Goldgof D; Hall LO; Morera H; Mouton PR
    J Neurosci Methods; 2021 Apr; 354():109102. PubMed ID: 33607171
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Nuclear-labeling index analysis (NLIA), a software package used to perform accurate automation of cell nuclear-labeling index analysis on immunohistochemically stained rat liver samples.
    Xu YH; Sattler GL; Edwards H; Pitot HC
    Comput Methods Programs Biomed; 2000 Aug; 63(1):55-70. PubMed ID: 10927155
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 2.