An improved denoising of G-banding chromosome images using cascaded CNN and binary classification network

Author:

Altinsoy EmrecanORCID,Yang Jie,Tu Enmei

Funder

Committee of Science and Technology, Shanghai, China

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference49 articles.

1. Graham, J., Piper, J.: Automatic karyotype analysis 141–185,(1994)

2. Ji, L.: Intelligent splitting in the chromosome domain. Pattern Recogn. 22(5), 519–532 (1989). https://doi.org/10.1016/0031-3203(89)90021-6

3. Guimaraes, L., Schuck, A., Elbern, A.: Chromosome classification for karyotype composing applying shape representation on wavelet packet transform. Pattern Recogn. Lett. 1, 941–943 (2003)

4. Karvelis, P., Fotiadis, D., Syrrou, M., Georgiou, I.: Segmentation of chromosome images based on a recursive watershed transform. Conf. Proc. IEEE Eng. Med. Biol. Soc. 11, 1727–1983 (2005)

5. Srisang, W., Jaroensutasinee, K., Jaroensutasinee, M.: Segmentation of overlapping chromosome images using computational geometry. WJST 3(2), 181–194 (2006)

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