166 related articles for article (PubMed ID: 34370726)
1. Validation and tuning of in situ transcriptomics image processing workflows with crowdsourced annotations.
Vo-Phamhi JM; Yamauchi KA; Gómez-Sjöberg R
PLoS Comput Biol; 2021 Aug; 17(8):e1009274. PubMed ID: 34370726
[TBL] [Abstract][Full Text] [Related]
2. Crowdsourcing image annotation for nucleus detection and segmentation in computational pathology: evaluating experts, automated methods, and the crowd.
Irshad H; Montaser-Kouhsari L; Waltz G; Bucur O; Nowak JA; Dong F; Knoblauch NW; Beck AH
Pac Symp Biocomput; 2015; ():294-305. PubMed ID: 25592590
[TBL] [Abstract][Full Text] [Related]
3. Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.
Zhou N; Siegel ZD; Zarecor S; Lee N; Campbell DA; Andorf CM; Nettleton D; Lawrence-Dill CJ; Ganapathysubramanian B; Kelly JW; Friedberg I
PLoS Comput Biol; 2018 Jul; 14(7):e1006337. PubMed ID: 30059508
[TBL] [Abstract][Full Text] [Related]
4. Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processing.
Zhai H; Lingren T; Deleger L; Li Q; Kaiser M; Stoutenborough L; Solti I
J Med Internet Res; 2013 Apr; 15(4):e73. PubMed ID: 23548263
[TBL] [Abstract][Full Text] [Related]
5. Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students.
Grote A; Schaadt NS; Forestier G; Wemmert C; Feuerhake F
IEEE Trans Med Imaging; 2019 May; 38(5):1284-1294. PubMed ID: 30489264
[TBL] [Abstract][Full Text] [Related]
6. Improving Consensus Scoring of Crowdsourced Data Using the Rasch Model: Development and Refinement of a Diagnostic Instrument.
Brady CJ; Mudie LI; Wang X; Guallar E; Friedman DS
J Med Internet Res; 2017 Jun; 19(6):e222. PubMed ID: 28634154
[TBL] [Abstract][Full Text] [Related]
7. Quanti.us: a tool for rapid, flexible, crowd-based annotation of images.
Hughes AJ; Mornin JD; Biswas SK; Beck LE; Bauer DP; Raj A; Bianco S; Gartner ZJ
Nat Methods; 2018 Aug; 15(8):587-590. PubMed ID: 30065368
[TBL] [Abstract][Full Text] [Related]
8. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.
Segebarth D; Griebel M; Stein N; von Collenberg CR; Martin C; Fiedler D; Comeras LB; Sah A; Schoeffler V; Lüffe T; Dürr A; Gupta R; Sasi M; Lillesaar C; Lange MD; Tasan RO; Singewald N; Pape HC; Flath CM; Blum R
Elife; 2020 Oct; 9():. PubMed ID: 33074102
[TBL] [Abstract][Full Text] [Related]
9. Task design for crowdsourced glioma cell annotation in microscopy images.
Schwarze S; Schaadt NS; Sobotta VMG; Spicher N; Skripuletz T; Esmaeilzadeh M; Krauss JK; Hartmann C; Deserno TM; Feuerhake F
Sci Rep; 2024 Jan; 14(1):1965. PubMed ID: 38263411
[TBL] [Abstract][Full Text] [Related]
10. A Virtual Reading Center Model Using Crowdsourcing to Grade Photographs for Trachoma: Validation Study.
Brady CJ; Cockrell RC; Aldrich LR; Wolle MA; West SK
J Med Internet Res; 2023 Apr; 25():e41233. PubMed ID: 37023420
[TBL] [Abstract][Full Text] [Related]
11. Crowdsourcing for error detection in cortical surface delineations.
Ganz M; Kondermann D; Andrulis J; Knudsen GM; Maier-Hein L
Int J Comput Assist Radiol Surg; 2017 Jan; 12(1):161-166. PubMed ID: 27350057
[TBL] [Abstract][Full Text] [Related]
12. Cameras for Public Health Surveillance: A Methods Protocol for Crowdsourced Annotation of Point-of-Sale Photographs.
Ilakkuvan V; Tacelosky M; Ivey KC; Pearson JL; Cantrell J; Vallone DM; Abrams DB; Kirchner TR
JMIR Res Protoc; 2014 Apr; 3(2):e22. PubMed ID: 24717168
[TBL] [Abstract][Full Text] [Related]
13. AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.
Albarqouni S; Baur C; Achilles F; Belagiannis V; Demirci S; Navab N
IEEE Trans Med Imaging; 2016 May; 35(5):1313-21. PubMed ID: 26891484
[TBL] [Abstract][Full Text] [Related]
14. Fine-Tuning Deep Learning by Crowd Participation.
Albarqouni S
IEEE Pulse; 2018; 9(5):21. PubMed ID: 30273139
[TBL] [Abstract][Full Text] [Related]
15. Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning.
Laubscher E; Wang X; Razin N; Dougherty T; Xu RJ; Ombelets L; Pao E; Graf W; Moffitt JR; Yue Y; Van Valen D
Cell Syst; 2024 May; 15(5):475-482.e6. PubMed ID: 38754367
[TBL] [Abstract][Full Text] [Related]
16. Computational solutions for spatial transcriptomics.
Kleino I; Frolovaitė P; Suomi T; Elo LL
Comput Struct Biotechnol J; 2022; 20():4870-4884. PubMed ID: 36147664
[TBL] [Abstract][Full Text] [Related]
17. Automated quantification and evaluation of motion artifact on coronary CT angiography images.
Ma H; Gros E; Baginski SG; Laste ZR; Kulkarni NM; Okerlund D; Schmidt TG
Med Phys; 2018 Dec; 45(12):5494-5508. PubMed ID: 30339290
[TBL] [Abstract][Full Text] [Related]
18. CMed: Crowd Analytics for Medical Imaging Data.
Park JH; Nadeem S; Boorboor S; Marino J; Kaufman A
IEEE Trans Vis Comput Graph; 2021 Jun; 27(6):2869-2880. PubMed ID: 31751242
[TBL] [Abstract][Full Text] [Related]
19. Crowdsourcing for reference correspondence generation in endoscopic images.
Maier-Hein L; Mersmann S; Kondermann D; Stock C; Kenngott HG; Sanchez A; Wagner M; Preukschas A; Wekerle AL; Helfert S; Bodenstedt S; Speidel S
Med Image Comput Comput Assist Interv; 2014; 17(Pt 2):349-56. PubMed ID: 25485398
[TBL] [Abstract][Full Text] [Related]
20. Microtask crowdsourcing for disease mention annotation in PubMed abstracts.
Good BM; Nanis M; Wu C; Su AI
Pac Symp Biocomput; 2015; ():282-93. PubMed ID: 25592589
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
