Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers
The presence of clustered microcalcifications is one of the earliest signs in breast cancer detection. Although there exist many studies broaching this problem, most of them are nonreproducible due to the use of proprietary image datasets. We use a known subset of the currently largest publicly avai...
Saved in:
Main Authors: | R. Gallardo-Caballero, C. J. García-Orellana, A. García-Manso, H. M. González-Velasco, M. Macías-Macías |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1100/2012/540457 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Breast Suspicious Microcalcifications on Contrast-Enhanced Mammograms: Practice and Reflection
by: Zhao X
Published: (2025-01-01) -
Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms
by: Imad Zyout, et al.
Published: (2009-01-01) -
Microradiography of Microcalcifications in Breast Specimen: A New Histological Correlation Procedure and the Effect of Improved Resolution on Diagnostic Validity
by: H.-J. Langen, et al.
Published: (2012-01-01) -
THERMAL IMAGES PRE-PROCESSING FOR EARLY DETECTION OF BREAST CANCER: A PROGRESSIVE REVIEW
by: Azman Brahim Llaguno Garcia, et al.
Published: (2024-03-01) -
A Computer-Aided Diagnosis System for Breast Cancer Using Independent Component Analysis and Fuzzy Classifier
by: Ikhlas Abdel-Qader, et al.
Published: (2008-01-01)