KEMR-Net: A Knowledge-Enhanced Mask Refinement Network for Chromosome Instance Segmentation-Reference-Cited by-同舟云学术

KEMR-Net: A Knowledge-Enhanced Mask Refinement Network for Chromosome Instance Segmentation

Published:2023-01-02 Issue: Volume: Page:1-11
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Zhou Renhao¹,Yu Linfeng¹,Chen Ding¹,Zhang Haoxi¹²,Szczerbicki Edward³

Affiliation:

1. School of Cybersecurity, Chengdu University of Information Technology, Chengdu, China

2. Advanced Cryptography and System Security Key Laboratory of Sichuan Province, Chengdu, China

3. Faculty of Management and Economics, Gdansk University of Technology, Gdansk, Poland

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2022.2162741

Reference18 articles.

1. Chromosome Extraction Based on U-Net and YOLOv3

2. Cascade R-CNN: High Quality Object Detection and Instance Segmentation

3. Feng, T., B. Chen, and Y. Zhang. 2020. Chromosome image segmentation framework based on improved Mask R-CNN. Journal of Computer Applications 40 (11):3332.

4. He, K., G. Gkioxari, P. Dollár, and R. Girshick. 2017. Mask R-CNN. In Proceedings of the IEEE International Conference on Computer Vision (2961–9).

5. Hu, R. L., J. Karnowski, R. Fadely, and J. P. Pommier. 2017. Image segmentation to distinguish between overlapping human chromosomes. arXiv preprint arXiv:1712.07639

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