MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data

PURPOSE: Medical imaging data of lung cancer in different stages contain a large amount of time information related to its evolution (emergence, development, or extinction). We try to explore the evolution process of lung images in time dimension to improve the prediction of lung cancer survival by...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Jiahao, Xiao, Ning, Yang, Wanting, Luo, Shichao, Zhao, Jun, Qiang, Yan, Chaudhary, Suman, Zhao, Juanjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020752/
https://www.ncbi.nlm.nih.gov/pubmed/35445285
http://dx.doi.org/10.1007/s11548-022-02625-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020752/
https://www.ncbi.nlm.nih.gov/pubmed/35445285
http://dx.doi.org/10.1007/s11548-022-02625-z

Ejemplares similares