Paper Info
Title
Development Of An Interface For Detection Of Slices With Ground-Glass Opacity Nodule By Using The Nearest Neighbor Algorithm
Abstract
Calculating features of the GGO nodule can help to detect the benign or malignant of lung tumors, but it took a lot of time for radiologists to acquire all slices including the GGO nodules in CT volume data. This paper proposed the nearest neighbor algorithm without any parameters and developed an interface to assist the radiologist to detect all the GGO slices in the CT volume data. An interface to assist the radiologist to find slices including a GGO nodule was designed as follows. First, the region of interest (ROI) was obtained as preprocesses of the interface preprocesses from the original CT. Secondly, a slice including the GGO nodule was designated by a radiologist. The designated slice was called the labeled datum. Finally, all slices including the GGO nodules were detected based on the nearest neighbor algorithm and the labeled datum. Thus, the radiologist can quickly find all slices including GGO nodules in CT volume data without drawing the GGO nodules of all slices manually. The proposal is compared with detection of all slices containing GGO nodules manually. The experimental result showed that the proposal was quicker to find all slices including GGO nodules than the manual method.
Year
Venue
Keywords
2017
2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI)
A Ground-Glass Opacity Nodule, the interface, nearest neighbor algorithm
Field
DocType
Citations 
k-nearest neighbors algorithm,Computer vision,Pattern recognition,Computer science,Feature extraction,Computed tomography,Artificial intelligence,Region of interest,Ground-glass opacity,Signal processing algorithms
Conference
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Dandan Yuan100.34
Weiwei Du234.10
Jianming Wang345.82
Xiaojie Duan411.36
Yanhe Ma500.68
Hong Zhang627626.98