Prediction of recurrence risk factors in patients with early-stage cervical cancers by nomogram based on MRI handcrafted radiomics features and deep learning features: a dual-center study.

Purpose: To establish and validate a deep learning radiomics nomogram (DLRN) based on intratumoral and peritumoral regions of MR images and clinical characteristics to predict recurrence risk factors in early-stage cervical cancer and to clarify whether DLRN could be applied for risk stratification....

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Detalles Bibliográficos
Publicado en:Abdominal Radiology Vol. 49; no. 1; pp. 258 - 271
Autores principales: Zhang, Yajiao, Wu, Chao, Du, Jinglong, Xiao, Zhibo, Lv, Furong, Liu, Yanbing
Formato: Journal Article
Publicado: Springer Nature Jan2024
Acceso en línea:Ver este registro en EBSCOhost