A computer aided neural network classification of regions of suspicion (ROS) on digitized mammograms is presented in this paper which employs features extracted by a new technique based on independent component analysis. Our approach is concentrated in finding a set of independent source regions tha
β¦ LIBER β¦
Usefulness of three-dimensional fractal analysis for breast cancer detection in computer-aided diagnosis of mammograms
β Scribed by K. Murase; N. Tanki; H. Kubota; Y. Yamazaki; M. Nagao
- Book ID
- 116536417
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 37 KB
- Volume
- 1268
- Category
- Article
- ISSN
- 0531-5131
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Computer aided diagnosis of breast cance
β
I. Christoyianni; A. Koutras; E. Dermatas; G. Kokkinakis
π
Article
π
2002
π
Elsevier Science
π
English
β 490 KB
Fuzzy logic in computer-aided breast can
β
Boris Kovalerchuk; Evangelos Triantaphyllou; James F Ruiz; Jane Clayton
π
Article
π
1997
π
Elsevier Science
π
English
β 362 KB
Proposal of computer-aided detection sys
β
A. Shimizu; T. Kawamura; H. Kobatake
π
Article
π
2005
π
Elsevier Science
π
English
β 166 KB
Algorithm-based method for detection of
β
Muqing Lin; Jeon-Hor Chen; Ke Nie; Daniel Chang; Orhan Nalcioglu; Min-Ying Su
π
Article
π
2009
π
John Wiley and Sons
π
English
β 357 KB
## Abstract ## Purpose To develop a computerβbased algorithm for detecting blood vessels that appear in breast dynamic contrastβenhanced (DCE) magnetic resonance imaging (MRI), and to evaluate the improvement in reducing the number of vascular pixels that are labeled by computerβaided diagnosis (C
[Lecture Notes in Computer Science] Brea
β
Maidment, Andrew D. A.; Bakic, Predrag R.; Gavenonis, Sara
π
Article
π
2012
π
Springer Berlin Heidelberg
π
German
β 321 KB
Combined Diagnosis Of Three-dimensional
β
M. Funakoshi; Y. Fukuda; M. Okada
π
Article
π
2011
π
Elsevier Science
π
English
β 46 KB