Paper Info
Title
Multiwavelet grading of pathological images of prostate.
Abstract
Histological grading of pathological images is used to determine the level of malignancy of cancerous tissues. This is a very important task in prostate cancer prognosis, since it is used for treatment planning. If infection of cancer is not rejected by noninvasive diagnostic techniques like magnetic resonance imaging, computed tomography scan, and ultrasound, then biopsy specimens of tissue are t...
Year
DOI
Venue
2003
10.1109/TBME.2003.812194
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Pathology,Biopsy,Feature extraction,Noise level,Prostate cancer,Magnetic resonance imaging,Computed tomography,Ultrasonic imaging,Testing,Microscopy
Computer vision,Entropy (energy dispersal),Computer science,Image texture,Feature extraction,Artificial intelligence,Contextual image classification,Gleason grading system,Discriminative model,Wavelet packet decomposition,Wavelet transform
Journal
Volume
Issue
ISSN
50
6
0018-9294
Citations 
PageRank 
References 
60
4.64
14
Authors
2
Name
Order
Citations
PageRank
kourosh jafarikhouzani126128.87
Hamid Soltanian-Zadeh224422.92