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]