CIS-Net: An End-to-end Chromosome Instance Segmentation Method Based on Disturbance Features Deactivation and Strengthened Disparity
Author:
Affiliation:
1. Chongqing University,College of Computer Science,Chongqing,China
2. Chongqing University Cancer Hospital,Department of Hematology-Oncology,Chongqing,China
Funder
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650612.pdf?arnumber=10650612
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1. Down's syndrome
2. Evidence from Turner's syndrome of an imprinted X-linked locus affecting cognitive function
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5. Medial axis transform-based features and a neural network for human chromosome classification
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