A Supervised Learning Framework for Pancreatic Islet Segmentation With Multi-Scale Color-Texture Features and Rolling Guidance Filters

Islet cell quantification and function is important for developing novel therapeutic interventions for diabetes. Existing methods of pancreatic islet segmentation in histopathological images depend strongly on cell/nuclei detection, and thus are limited due to a wide variance in the appearance of pa...

Full description

Saved in:
Bibliographic Details
Published in:Cytometry A
Main Authors: Huang, Yue, Liu, Chi, Eisses, John F., Husain, Sohail Z., Rohde, Gustavo K.
Format: Artigo
Language:Inglês
Published: 2016
Subjects:
Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5515086/
https://ncbi.nlm.nih.gov/pubmed/27560544
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.22929
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items