Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis

Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis

Current cancer diagnosis employs various nuclear morphometric measures. While these have allowed accurate late-stage prognosis, early diagnosis is still a major challenge. Recent evidence highlights the importance of alterations in mechanical properties of single cells and their nuclei as critical d...

Full description

Bibliographic Details
Main Authors: Radhakrishnan, Adityanarayanan (Contributor), Damodaran, Karthik (Author), Soylemezoglu, Ali C. (Contributor), Uhler, Caroline (Author), Shivashankar, G. V. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2018-02-13T21:49:44Z.
Subjects:
Article
Online Access:Get fulltext

Internet

Get fulltext

Similar Items