Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Evaluation of Some Clustering Algorithms and Validity Indices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exact model averaging with naive Bayesian classifiers
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Microarray image processing based on clustering and morphological analysis
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
A Weighted Nearest Mean Classifier for Sparse Subspaces
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
IKNN: Informative K-Nearest Neighbor Pattern Classification
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
A new method for DNA microarray image segmentation
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
| Hi-index | 0.00 |
A new method for DNA microarray image segmentation based on pattern recognition techniques is introduced. The method performs an unsupervised classification of pixels using a clustering algorithm, and a subsequent supervised classification of the resulting regions. Additional fine tuning includes detecting region edges and merging, and morphological operators to eliminate noise from the spots. The results obtained on various microarray images show that the proposed technique is quite promising for segmentation of DNA microarray images, obtaining a very high accuracy on background and noise separation.