Your browser doesn't support javascript.
loading
Preparing CT imaging datasets for deep learning in lung nodule analysis: Insights from four well-known datasets.
Wang, Jingxuan; Sourlos, Nikos; Zheng, Sunyi; van der Velden, Nils; Pelgrim, Gert Jan; Vliegenthart, Rozemarijn; van Ooijen, Peter.
Affiliation
  • Wang J; Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ, Groningen, the Netherlands.
  • Sourlos N; Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ, Groningen, the Netherlands.
  • Zheng S; School of Engineering, Westlake University, Xihu District, 310030, Hangzhou, China.
  • van der Velden N; Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ, Groningen, the Netherlands.
  • Pelgrim GJ; Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ, Groningen, the Netherlands.
  • Vliegenthart R; Department of Radiology, University of Groningen, University Medical Center of Groningen, 9713GZ, Groningen, the Netherlands.
  • van Ooijen P; Data Science Center in Health (DASH), University of Groningen, University Medical Center of Groningen, 9713GZ, Groningen, the Netherlands.
Heliyon ; 9(6): e17104, 2023 Jun.
Article in En | MEDLINE | ID: mdl-37484314
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies / Qualitative_research Language: En Journal: Heliyon Year: 2023 Document type: Article Affiliation country: Países Bajos Country of publication: Reino Unido
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies / Qualitative_research Language: En Journal: Heliyon Year: 2023 Document type: Article Affiliation country: Países Bajos Country of publication: Reino Unido