Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study

The aim of this study is to investigate the use of an exponential-plateau model to determine the required training dataset size that yields the maximum medical image segmentation performance. CT and MR images of patients with renal tumors acquired between 1997 and 2017 were retrospectively collected...

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Detalles Bibliográficos
Autores principales: Gottlich, Harrison C., Gregory, Adriana V., Sharma, Vidit, Khanna, Abhinav, Moustafa, Amr U., Lohse, Christine M., Potretzke, Theodora A., Korfiatis, Panagiotis, Potretzke, Aaron M., Denic, Aleksandar, Rule, Andrew D., Takahashi, Naoki, Erickson, Bradley J., Leibovich, Bradley C., Kline, Timothy L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406754/
https://www.ncbi.nlm.nih.gov/pubmed/36932251
http://dx.doi.org/10.1007/s10278-023-00804-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406754/
https://www.ncbi.nlm.nih.gov/pubmed/36932251
http://dx.doi.org/10.1007/s10278-023-00804-1

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