Improving Classification of Curved Chromosomes in Karyotyping using CNN-based Deformation

Author:

Nguyen Quan A.1,Nguyen Nhung T. C.2,Nguyen Son H.H.1,Doan Phuong T. K.3,Thinh Nguyen H.4,Tran Tung H.5,Luong Anh T. L.3,Le Ha V.6,Luu Ha M.6

Affiliation:

1. Vietnam National University,UET,Hanoi,Vietnam

2. Hematology & Blood Transfusion Center,Bach Mai Hospital,Hanoi,Vietnam

3. Hanoi Medical University,Dept. Biology & Medical Genetics,Hanoi,Vietnam

4. Vietnam National University,FET UET,Hanoi,Vietnam

5. University of Science & Technology of Hanoi,ICT Lab,Hanoi,Vietnam

6. Vietnam National University,AVITECH & FET UET,Hanoi,Vietnam

Publisher

IEEE

Reference12 articles.

1. Spatial transformer networks;jaderberg;Advances in neural information processing systems,2015

2. A robust framework of chromosome straightening with vit-patch gan;song,2022

3. PyImageJ: A library for integrating ImageJ and Python

4. Principal warps: thin-plate splines and the decomposition of deformations

5. An algorithm to straighten the bent human chromosomes

Cited by 1 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. Karyotyping of human chromosomes in metaphase images using faster R‐CNN and inception models;International Journal of Imaging Systems and Technology;2024-02-21

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