Developing global image feature analysis models to predict cancer risk and prognosis

Developing global image feature analysis models to predict cancer risk and prognosis

In order to develop precision or personalized medicine, identifying new quantitative imaging markers and building machine learning models to predict cancer risk and prognosis has been attracting broad research interest recently. Most of these research approaches use the similar concepts of the conve...

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Bibliographic Details
Main Authors: Aghaei, F. (Author), Danala, G. (Author), Heidari, M. (Author), Mirniaharikandehei, S. (Author), Qiu, Y. (Author), Zheng, B. (Author)
Format: Article
Language:English
Published: Springer Science and Business Media B.V. 2019
Subjects:
Cancer prognose prediction
Cancer prognosis
Cancer prognosis prediction
Cancer risk
Cancer risk prediction
Computer aided diagnosis
Computer aided instruction
Computerized tomography
Diseases
Forecasting
Global medial image feature analyse
Global medial image feature analysis
Image analysis
Image feature analysis
Machine learning
Machine learning model of medical image
Machine learning models
Machine learning models of medical images
Magnetic resonance imaging
Mammography
Prognosis prediction
Quantitative imaging
Quantitative imaging marker
Quantitative imaging markers
Risk assessment
Risk predictions
Tumors
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