(18)F-FDG-PET/CT Whole-Body Imaging Lung Tumor Diagnostic Model: An Ensemble E-ResNet-NRC with Divided Sample Space

Under the background of (18)F-FDG-PET/CT multimodal whole-body imaging for lung tumor diagnosis, for the problems of network degradation and high dimension features during convolutional neural network (CNN) training, beginning with the perspective of dividing sample space, an E-ResNet-NRC (ensemble...

Descripción completa

Detalles Bibliográficos
Autores principales: Tao, Zhou, Bing-qiang, Huo, Huiling, Lu, Hongbin, Shi, Pengfei, Yang, Hongsheng, Ding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032520/
https://www.ncbi.nlm.nih.gov/pubmed/33869635
http://dx.doi.org/10.1155/2021/8865237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032520/
https://www.ncbi.nlm.nih.gov/pubmed/33869635
http://dx.doi.org/10.1155/2021/8865237

Ejemplares similares