Review of deep learning methods for karyotype analysis
Author:
Publisher
Aerospace Information Research Institute, Chinese Academy of Sciences
Subject
Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Human-Computer Interaction
Reference74 articles.
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3. Altinsoy E,Yang J and Tu E M. 2022. An improved denoising of Gbanding chromosome images using cascaded CNN and binary classification network. The Visual Computer,38(6):2139-2152[DOI:10.1007/s00371-021-02273-5]
4. Altinsoy E,Yilmaz C,Wen J,Wu L Q,Yang J and Zhu Y M. 2019. Raw G-band chromosome image segmentation using U-Net based neural network//Proceedings of the 18th International Conference on Artificial Intelligence and Soft Computing. Zakopane,Poland:Springer:117-126[DOI:10.1007/978-3-030-20915-5_11]
5. Badrinarayanan V,Kendall A and Cipolla R. 2017. SegNet:a deep convolutional encoder-decoder architecture for image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12):2481-2495[DOI:10.1109/TPAMI.2016.2644615]
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