Article ; Online: A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer
Nature Communications, Vol 10, Iss 1, Pp 1-
2019 Volume 11
Abstract: Radiomics—the quantification of features within tumor images—has shown prognostic potential in cancer. Here, the authors use a machine learning approach to develop a radiomic-based small set of descriptors to predict ovarian cancer patient survival based ...
| Abstract | Radiomics—the quantification of features within tumor images—has shown prognostic potential in cancer. Here, the authors use a machine learning approach to develop a radiomic-based small set of descriptors to predict ovarian cancer patient survival based on CT scans acquired pre-operatively in 364 patients. |
|---|---|
| Keywords | Science ; Q |
| Language | English |
| Publishing date | 2019-02-01T00:00:00Z |
| Publisher | Nature Publishing Group |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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