Predicting malignant nodules by fusing deep features with classical radiomics features-Reference-Cited by-同舟云学术

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Predicting malignant nodules by fusing deep features with classical radiomics features

Published:2018-03-21 Issue:01 Volume:5 Page:1
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Paul Rahul¹,Hawkins Samuel H.¹,Schabath Matthew B.²,Gillies Robert J.³,Hall Lawrence O.¹,Goldgof Dmitry B.¹

Affiliation:

1. University of South Florida, Department of Computer Science and Engineering, Tampa, Florida

2. H. Lee Moffitt Cancer Center & Research Institute, Department of Cancer Epidemiology, Tampa, Florida

3. H. Lee Moffitt Cancer Center & Research Institute, Department of Cancer Physiology, Tampa, Florida

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology Nuclear Medicine and imaging

Reference42 articles.

1. Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

2. Radiomics: Extracting more information from medical images using advanced feature analysis

3. Radiomics: the process and the challenges

4. Deep learning

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