@inproceedings{1240662ace844d1b95ca213f9ca2ce95,
title = "Shortest path adjusted similarity metrics for resolving boundary perturbations in scaffold images for tissue engineering",
abstract = "The degree of match between the delineation result produced by a segmentation technique and the ground truth can be assessed using robust {"}presence-absence{"} resemblance measures. Previously [1], we had investigated and introduced an exhaustive list of similarity indices for assessing multiple segmentation techniques. However, these measures are highly sensitive to even minor boundary perturbations which imminently manifest in the segmentations of random biphasic spaces reminiscent of the stochastic pore-solid distributions in the tissue engineering scaffolds. This paper investigates the ideas adapted from ecology to emphasize global resemblances and ignore minor local dissimilarities. It uses concepts from graph theory to perform controlled local mutations in order to maximize the similarities. The effect of this adjustment is investigated on a comprehensive list (forty nine) of similarity indices sensitive to the over- and underestimation errors associated with image delineation tasks.",
keywords = "Delineation, Porous scaffolds, Segmentation, Similarity index, Tissue engineering",
author = "Srinivasan Rajagopalan and Richard Robb",
year = "2006",
doi = "10.1117/12.654000",
language = "English (US)",
isbn = "0819464236",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2006",
note = "Medical Imaging 2006: Image Processing ; Conference date: 13-02-2006 Through 16-02-2006",
}