New features for automatic classification of human chromosomes: A feasibility study
Pattern Recognition Letters
Subspace-based prototyping and classification of chromosome images
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
To make a visual examination of various chromosome abnormalities, individual chromosome regions have to be determined in an image and classified into distinct chromosome types in advance. We propose a subregion based method to improve this process. The proposed method regards each chromosome region as a series of subregions, and iterates a search for subregions in the subject image consecutively. In this method, chromosome region classification can be performed simultaneously with its determination for each subregion, and the features in subregions can be integrated effectively for recognizing an entire chromosome region.