Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker-Reference-Cited by-同舟云学术

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Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker

Published:2018-08-06 Issue:15 Volume:63 Page:155020
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Zargari Abolfazl,Du Yue^ORCID,Heidari Morteza,Thai Theresa C,Gunderson Camille C,Moore Kathleen,Mannel Robert S,Liu Hong,Zheng Bin,Qiu Yuchen

Funder

National Cancer Institute, National Institutes of Health

The Oklahoma Center for the Advancement of Science & Technology

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://iopscience.iop.org/article/10.1088/1361-6560/aad3ab/pdf

Reference53 articles.

1. Pitfalls in RECIST Data Extraction for Clinical Trials

2. An integrated method of associative classification and neuro-fuzzy approach for effective mammographic classification

3. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

4. Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy

5. Independent radiologic review: Bevacizumab in combination with gemcitabine and carboplatin in recurrent ovarian cancer

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