@inproceedings{19edc76b35da40dfa3298618dce96b4c,
title = "The ROIs segmentation method of the lungs based on adaptive EM algorithm and edge gradient information",
abstract = "The accurate segmentation of lung nodules plays a key role in evaluating therapeutic effect in clinic. In this paper, we propose a precise pixel-level segmentation method for region of interest (ROI) in order to accurately segment lung nodules further. Firstly, we employ expectation maximization (EM) algorithm based on adaptive threshold for binarizing lung image to segment ROIs preliminarily in lung parenchyma area extracted by region growing. In addition, region boundary is detected and expanded constantly combined with edge gradient information until the approximate real boundary of ROI is acquired. The experimental data is from the LIDC public database and the database of the Second Affiliated Hospital of Harbin Medical University. Experimental results show that our approach is feasible and effective for precise extraction of ROIs, which is very helpful to segment lung nodules and reduce the false positives.",
keywords = "EM, Gradient information, ROIs, Segmentation",
author = "Ru Liu and Yang Liu and Maozu Guo and Rulin Ma and Ping Li",
year = "2012",
language = "英语",
isbn = "9781601322258",
series = "Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012",
pages = "52--57",
booktitle = "Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012",
note = "2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 ; Conference date: 16-07-2012 Through 19-07-2012",
}