Classification of Metaphase Chromosomes Using Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

Classification of Metaphase Chromosomes Using Deep Convolutional Neural Network

Published:2019-05 Issue:5 Volume:26 Page:473-484
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Hu Xi¹,Yi Wenling²,Jiang Ling³,Wu Sijia³,Zhang Yan⁴,Du Jianqiang¹,Ma Tianyou⁵,Wang Tong⁴,Wu Xiaoming¹

Affiliation:

1. The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an, China.

2. The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

3. School of Life Sciences and Technology, Xidian University, Xi'an, China.

4. Lu Daopei Institute of Hematology, Hebei Yanda Lu Daopei Hospital, Langfang, China.

5. Institute of Endemic Diseases, Environment Related Gene Key Laboratory of Ministry of Education, Xi'an Jiaotong University, Xi'an, China.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2018.0212

Reference23 articles.

1. Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

2. Efficient karyotyping of metaphase chromosomes using incremental learning

3. Snakes: Active contour models

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