Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms

Organs-at-risk contouring is time consuming and labour intensive. Automation by deep learning algorithms would decrease the workload of radiotherapists and technicians considerably. However, the variety of metrics used for the evaluation of deep learning algorithms make the results of many papers di...

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Detalles Bibliográficos
Autores principales: van den Oever, L. B., van Veldhuizen, W. A., Cornelissen, L. J., Spoor, D. S., Willems, T. P., Kramer, G., Stigter, T., Rook, M., Crijns, A. P. G., Oudkerk, M., Veldhuis, R. N. J., de Bock, G. H., van Ooijen, P. M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921356/
https://www.ncbi.nlm.nih.gov/pubmed/35083620
http://dx.doi.org/10.1007/s10278-021-00573-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921356/
https://www.ncbi.nlm.nih.gov/pubmed/35083620
http://dx.doi.org/10.1007/s10278-021-00573-9

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