z-logo
open-access-imgOpen Access
Quantitative Segmentation of Fluorescence Microscopy Images of Heterogeneous Tissue: Application to the Detection of Residual Disease in Tumor Margins
Author(s) -
Joshua Mueller,
Zachary T. Harmany,
Jeffrey K. Mito,
Stephanie A. Kennedy,
Yongbaek Kim,
Leslie G. Dodd,
Joseph Geradts,
David G. Kirsch,
Rebecca Willett,
J. Quincy Brown,
Nirmala Ramanujam
Publication year - 2013
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/e014-sv17
Subject(s) - segmentation , residual , fluorescence microscope , microscopy , fluorescence , image segmentation , artificial intelligence , pathology , computer science , computer vision , medicine , optics , physics , algorithm

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here