@inproceedings{c77ecbd9fb294a8ba0fc5e0ce5c5c4c0,
title = "Segmentation and classification of 3-D spots in FISH images",
abstract = "In this paper, we propose an automated method to segment and classify the 3-D spots in fluorescence in-situ hybridization images from ovarian germline nurse cells of Drosophila melanogaster. The spot segmentation consists of a smoothing step followed by top-hat filtering and 3-D region growing. After the spots are segmented, a number of features such as volume, texture, and contrast are measured so as to classify the real spots from the noise with the help of a Bayesian classifier. Experimental results demonstrate the effectiveness of the proposed scheme in terms of segmentation and classification accuracy.",
keywords = "Anisotropic diffusion, FISH images, ROC analysis, Segmentation, Spot detection, Top-hat filtering",
author = "Sundaresh Ram and Rodriguez, {Jeffrey J.} and Giovanni Bosco",
year = "2010",
doi = "10.1109/SSIAI.2010.5483909",
language = "English (US)",
isbn = "9781424478026",
series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",
pages = "101--104",
booktitle = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings",
note = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 ; Conference date: 23-05-2010 Through 25-05-2010",
}