A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study

A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study

Background: To explore the prognostic value of radiomics-based and digital pathology-based imaging biomarkers from macroscopic magnetic resonance imaging (MRI) and microscopic whole-slide images for patients with nasopharyngeal carcinoma (NPC). Methods: We recruited 220 NPC patients and divided them...

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Bibliographic Details
Main Authors: Fan Zhang, Lian-Zhen Zhong, Xun Zhao, Di Dong, Ji-Jin Yao, Si-Yang Wang, Ye Liu, Ding Zhu, Yin Wang, Guo-Jie Wang, Yi-Ming Wang, Dan Li, Jiang Wei, Jie Tian, Hong Shan
Format: Article
Language:English
Published: SAGE Publishing 2020-12-01
Series:Therapeutic Advances in Medical Oncology
Online Access:https://doi.org/10.1177/1758835920971416

Internet

https://doi.org/10.1177/1758835920971416

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