Machine learning-based radiomics analysis in predicting RAS mutational status using magnetic resonance imaging

被引：0
|
作者：
Vincenza Granata
Roberta Fusco
Maria Chiara Brunese
Annabella Di Mauro
Antonio Avallone
Alessandro Ottaiano
Francesco Izzo
Nicola Normanno
Antonella Petrillo
机构：
[1] Istituto Nazionale Tumori IRCCS Fondazione Pascale–IRCCS di Napoli,Radiology Unit
[2] Igea SpA,Medical Oncology Division
[3] University of Molise,Department of Medicine and Health Sciences V. Tiberio
[4] Istituto Nazionale Tumori,Pathological Anatomy and Cytopathology Unit
[5] IRCCS Fondazione G. Pascale,Clinical Sperimental Abdominal Oncology Unit
[6] Istituto Nazionale Tumori,Epatobiliary Surgical Oncology Unit
[7] IRCCS Fondazione G. Pascale,Cell Biology and Biotherapy Unit
[8] Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli,undefined
[9] Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS Di Napoli,undefined
来源：
La radiologia medica | 2024年 / 129卷
关键词：
Radiomic analysis; Machine learning; Liver metastases; Magnetic resonance imaging; RAS mutational status;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：420 / 428
页数：8
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