Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition‐based radiomic features-Reference-Cited by-同舟云学术

Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition‐based radiomic features

Published:2018-10-19 Issue:11 Volume:45 Page:5116-5128
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Soufi Mazen¹,Arimura Hidetaka²,Nagami Noriyuki³

Affiliation:

1. Division of Information Science Graduate School of Science and Technology Nara Institute of Science and Technology 8916‐5, Takayama‐cho Ikoma Nara 630‐0192 Japan

2. Faculty of Medical Sciences Kyushu University 3‐1‐1, Maidashi, Higashi‐ku Fukuoka 812‐8582 Japan

3. Graduate School of Medical Sciences Kyushu University 3‐1‐1, Maidashi, Higashi‐ku Fukuoka 812‐8582 Japan

Funder

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13202

Reference53 articles.

1. Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab

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4. Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

5. Defining the biological basis of radiomic phenotypes in lung cancer

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