4.5 Letter

Radiomics can predict tumour response in patients treated with Nivolumab for a metastatic renal cell carcinoma: an artificial intelligence concept

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Urology & Nephrology

An Update on Predictive Biomarkers in Metastatic Renal Cell Carcinoma

Shaan Dudani et al.

EUROPEAN UROLOGY FOCUS (2020)

Article Oncology

Artificial intelligence for precision oncology: beyond patient stratification

Francisco Azuaje

NPJ PRECISION ONCOLOGY (2019)

Article Oncology

Results from a meta-analysis of immune checkpoint inhibitors in first-line renal cancer patients: does PD-L1 matter?

Giandomenico Roviello et al.

THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: Images Are More than Pictures, They Are Data

Robert J. Gillies et al.

RADIOLOGY (2016)

Article Medicine, General & Internal

Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma

R. J. Motzer et al.

NEW ENGLAND JOURNAL OF MEDICINE (2015)

Article Multidisciplinary Sciences

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Hugo J. W. L. Aerts et al.

NATURE COMMUNICATIONS (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

Revised RECIST Guideline Version 1.1: What Oncologists Want to Know and What Radiologists Need to Know

Mizuki Nishino et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2010)