Radiomics analysis using stability selection supervised component analysis for right-censored survival data-Reference-Cited by-同舟云学术

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Radiomics analysis using stability selection supervised component analysis for right-censored survival data

Published:2020-09 Issue: Volume:124 Page:103959
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Yan Kang K.,Wang Xiaofei,Lam Wendy W.T.,Vardhanabhuti Varut,Lee Anne W.M.,Pang Herbert H.

Funder

National Cancer Institute

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference34 articles.

1. Deciphering unclassified tumors of non-small-cell lung cancer through radiomics;Saad;Comput. Biol. Med.,2017

2. Machine learning based brain tumour segmentation on limited data using local texture and abnormality;Bonte;Comput. Biol. Med.,2018

3. Automatic segmentation of the uterus on MRI using a convolutional neural network;Kurata;Comput. Biol. Med.,2019

4. Identification of topological features in renal tumor microenvironment associated with patient survival;Cheng;Bioinformatics,2018

5. A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling;Leger;Sci. Rep.,2017

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