Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer

OBJECTIVE: To establish and validate a radiomics nomogram based on the features of the primary tumor for predicting preoperative pathological extramural venous invasion (EMVI) in rectal cancer using machine learning. METHODS: The clinical and imaging data of 281 patients with primary rectal cancer f...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :Front Oncol
Главные авторы: Liu, Siye, Yu, Xiaoping, Yang, Songhua, Hu, Pingsheng, Hu, Yingbin, Chen, Xiaoyan, Li, Yilin, Zhang, Zhe, Li, Cheng, Lu, Qiang
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2021
Предметы:
Oncology
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8033032/
https://ncbi.nlm.nih.gov/pubmed/33842316
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2021.610338
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы