Longitudinal radiomics algorithm of posttreatment computed tomography images for early detecting recurrence of hepatocellular carcinoma after resection or ablation

OBJECTIVES: To develop a radiomics algorithm, improving the performance of detecting recurrence, based on posttreatment CT images within one month and at suspicious time during follow-up. MATERIALS AND METHODS: A total of 114 patients with 228 images were randomly split (7:3) into training and valid...

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Detalles Bibliográficos
Autores principales: Shen, Jing-xian, Zhou, Qian, Chen, Zhi-hang, Chen, Qiao-feng, Chen, Shu-ling, Feng, Shi-ting, Li, Xin, Wu, Ting-fan, Peng, Sui, Kuang, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569222/
https://www.ncbi.nlm.nih.gov/pubmed/33074127
http://dx.doi.org/10.1016/j.tranon.2020.100866

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569222/
https://www.ncbi.nlm.nih.gov/pubmed/33074127
http://dx.doi.org/10.1016/j.tranon.2020.100866

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