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...
Main Authors: | Aghaei, F. (Author), Danala, G. (Author), Heidari, M. (Author), Mirniaharikandehei, S. (Author), Qiu, Y. (Author), Zheng, B. (Author) |
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Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media B.V.
2019
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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