Assessing Inter-Annotator Agreement for Medical Image Segmentation

Artificial Intelligence (AI)-based medical computer vision algorithm training and evaluations depend on annotations and labeling. However, variability between expert annotators introduces noise in training data that can adversely impact the performance of AI algorithms. This study aims to assess, il...

Descripción completa

Detalles Bibliográficos
Autores principales: YANG, FENG, ZAMZMI, GHADA, ANGARA, SANDEEP, RAJARAMAN, SIVARAMAKRISHNAN, AQUILINA, ANDRÉ, XUE, ZHIYUN, JAEGER, STEFAN, PAPAGIANNAKIS, EMMANOUIL, ANTANI, SAMEER K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062409/
https://www.ncbi.nlm.nih.gov/pubmed/37008654
http://dx.doi.org/10.1109/access.2023.3249759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062409/
https://www.ncbi.nlm.nih.gov/pubmed/37008654
http://dx.doi.org/10.1109/access.2023.3249759

Ejemplares similares