A novel web-based solution for an unbiased analysis and evaluation of scientific images

Autor: Schippers, P, Rösch, G, Sohn, R, Holzapfel, M, Junker, M, Jenei-Lanzl, Z, Zaucke, F, Meurer, A
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2021); 20211026-20211029; Berlin; DOCAB51-1242 /20211026/
DOI: 10.3205/21dkou279
Popis: Objectives: Correct scientific image analysis is crucial for counting, grading, scoring or staging but is often hampered by subjectivity and bias. Therefore, image analysis should be performed by multiple blinded observers and in a randomized and anonymized manner. In addition, observers from other [for full text, please go to the a.m. URL]
Databáze: OpenAIRE