Epithelium and Stroma Identification in Histopathological Images Using Unsupervised and Semi-Supervised Superpixel-Based Segmentation

Epithelium and Stroma Identification in Histopathological Images Using Unsupervised and Semi-Supervised Superpixel-Based Segmentation

We present superpixel-based segmentation frameworks for unsupervised and semi-supervised epithelium-stroma identification in histopathological images or oropharyngeal tissue micro arrays. A superpixel segmentation algorithm is initially used to split-up the image into binary regions (superpixels) an...

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Bibliographic Details
Main Authors: Shereen Fouad, David Randell, Antony Galton, Hisham Mehanna, Gabriel Landini
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Journal of Imaging
Subjects:
superpixel segmentation
consensus clustering
histopathology
image analysis
semi-supervised classification
self-training
Online Access:https://www.mdpi.com/2313-433X/3/4/61

Internet

https://www.mdpi.com/2313-433X/3/4/61

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