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NYU Dataset
Histological image data used to induce a quantitative characterization of chronic tumor hypoxia in time and space
- Authors
- Andrew SunstromElda GrabockaDafna Bar-SagiBud Mishra
- Description
Researchers imaging data along with image-processing algorithms in order to develop a set of candidate image features that can be used to develop a quantitative description of xenografted colorectal chronic tumor hypoxia. These features were used to develop a spatiotemporal logical expression as well as a way to formulate a linear regression function that uses all of the image features to describe...
- Subject
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Cancer
- Access Rights
- Free to All