Title
Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN).
Abstract
When lung nodules overlap with ribs or clavicles in chest radiographs, it can be difficult for radiologists as well as computer-aided diagnostic (CAD) schemes to detect these nodules. In this paper, we developed an image-processing technique for suppressing the contrast of ribs and clavicles in chest radiographs by means of a multiresolution massive training artificial neural network (MTANN). An M...
Year
DOI
Venue
2006
10.1109/TMI.2006.871549
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Ribs,Artificial neural networks,Spatial resolution,Image resolution,Diagnostic radiography,Lungs,Education,Bones,Medical tests,Image databases
Computer vision,Rib cage,Computer-aided diagnosis,Image processing,Radiography,Artificial intelligence,Radiology,Artificial neural network,Image resolution,Subtraction,Medicine,Radiographic Image Enhancement
Journal
Volume
Issue
ISSN
25
4
0278-0062
Citations 
PageRank 
References 
22
1.53
16
Authors
4
Name
Order
Citations
PageRank
Kenji Suzuki150538.99
Hiroyuki Abe2445.81
Heber MacMahon320231.61
Kunio Doi4221.53