Paper Info
Title
Pulmonary Nodule Classification Based on Nodule Retrieval from 3-D Thoracic CT Image Database
Abstract
The purpose of this study is to develop an image-guided decision support system that assists decision-making in clinical differential diagnosis of pulmonary nodules. This approach retrieves and displays nodules that exhibit morphological and internal profiles consistent to the nodule in question. It uses a three-dimensional (3-D) CT image database of pulmonary nodules for which diagnosis is known. In order to build the system, there are following issues that should be solved, (1) to categorize the nodule database with respect to morphological and internal features, (2) to quickly search nodule images similar to an indeterminate nodule from a large database, and (3) to reveal malignancy likelihood computed by using similar nodule images. Especially, the first problem influences the design of other issues. The successful categorization of nodule pattern might lead physicians to find important cues that characterize benign and malignant nodules. This paper focuses on an approach to categorize the nodule database with respect to nodule shape and CT density patterns inside nodule.
Year
DOI
Venue
2004
10.1007/978-3-540-30136-3_102
Lecture Notes in Computer Science
Keywords
Field
DocType
three dimensional,decision support system
Solitary pulmonary nodule,Pattern recognition,Computer science,Malignancy,Artificial intelligence,Image database,Indeterminate,Differential diagnosis
Conference
Volume
ISSN
Citations 
3217
0302-9743
3
PageRank 
References 
Authors
0.58
3
11
Name
Order
Citations
PageRank
Yoshiki Kawata119254.44
Noboru Niki218866.10
Hironobu Ohmatsu313845.23
masahiko kusumoto44616.28
Ryutaro Kakinuma59724.90
Kouzo Yamada630.58
Kiyoshi Mori74710.84
Hiroyuki Nishiyama830.58
Kenji Eguchi912942.78
Masahiro Kaneko1030.58
Noriyuki Moriyama1114850.47