Chengchuang Lin

Orcid: 0000-0002-3514-2071

According to our database1, Chengchuang Lin authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
A Suitability Assessment Framework for Medical Cell Images in Chromosome Analysis.
Proceedings of the Web Information Systems and Applications, 2023

2022
CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A Clinical Dataset and Various Baselines for Chromosome Instance Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification.
Comput. Biol. Chem., 2022

2021
A novel chromosome cluster types identification method using ResNeXt WSL model.
Medical Image Anal., 2021

A novel chromosome instance segmentation method based on geometry and deep learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Identification of Incorrect Karyotypes Using Deep Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Chromosome Cluster Identification Framework Based on Geometric Features and Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

A Multi-Stages Chromosome Segmentation and Mixed Classification Method for Chromosome Automatic Karyotyping.
Proceedings of the Web Information Systems and Applications, 2020

2019
Research on Strategy Optimization of OpenFlow Switch Flow Table Based on "Bus Route" Idea.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2016
Queries over Large-Scale Log Data of Hybrid Granularities.
Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

Queries over Large-Scale Incremental Data of Hybrid Granularities.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016


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