Efficient karyotyping of metaphase chromosomes using incremental learning
Author:
Affiliation:
1. Department of Computer EngineeringCollege of EngineeringPune411005India
2. Department of Electronics and TelecommunicationCollege of EngineeringPune411005India
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2012.0160
Reference22 articles.
1. Chromosome classification using dynamic time warping;Benoit L.;Pattern Recognit. Lett.,2008
2. A novel metric for bone marrow cells chromosome pairing;Artem K.;IEEE Trans. Biomed. Eng.,2010
3. A modular framework for automatic classification of chromosomes in Q‐band images;Enea P.;Comput. Methods Programs Biomed.,2012
4. Enea P.: Chromosome data set for classification http://bioimlab.dei.unipd.it
5. Automated classification of metaphase chromosomes: optimization of an adaptive computerized scheme;Xingwei W.;J. Biomed.,2009
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