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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Bibliographic Details

Published in:	Abdominal Radiology Vol. 49; no. 1; pp. 258 - 271
Main Authors:	Zhang, Yajiao, Wu, Chao, Du, Jinglong, Xiao, Zhibo, Lv, Furong, Liu, Yanbing
Format:	Journal Article
Published:	Springer Nature Jan2024
Online Access:	View this record in EBSCOhost