Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation

OBJECTIVE: We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segmentation across various reconstruction methods. MATERIALS AND METHODS: We collected contrast...

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Detalles Bibliográficos
Autores principales: Lee, Seul Bi, Hong, Youngtaek, Cho, Yeon Jin, Jeong, Dawun, Lee, Jina, Yoon, Soon Ho, Lee, Seunghyun, Choi, Young Hun, Cheon, Jung-Eun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2023
Materias:
Gastrointestinal Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067697/
https://www.ncbi.nlm.nih.gov/pubmed/36907592
http://dx.doi.org/10.3348/kjr.2022.0588

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067697/
https://www.ncbi.nlm.nih.gov/pubmed/36907592
http://dx.doi.org/10.3348/kjr.2022.0588

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