Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands-Reference-Cited by-同舟云学术

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Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands

Published:2018-07 Issue: Volume: Page:
ISSN:
Container-title:2018 International Joint Conference on Neural Networks (IJCNN)
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Author:

Sharma Monika,Swati ,Vig Lovekesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8465565/8488986/08489321.pdf?arnumber=8489321

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CIS-Net: An End-to-end Chromosome Instance Segmentation Method Based on Disturbance Features Deactivation and Strengthened Disparity;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Karyotyping of human chromosomes in metaphase images using faster R‐CNN and inception models;International Journal of Imaging Systems and Technology;2024-02-21

3. An End-to-End Chromosome Classification Method Based on Contrastive and Sparse Representation Learning;2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE);2023-12-29

4. Multilabel Chromosome Classification Based on Denver and Chromosome Information;2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE);2023-11-25

5. KaryoNet: Chromosome Recognition With End-to-End Combinatorial Optimization Network;IEEE Transactions on Medical Imaging;2023-10

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