Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images-Reference-Cited by-同舟云学术

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Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Lv Linpeng,He Futong,Zhang Jiahui,Mao Liling,Fan Jingchuan,Xiao Guoqiang,Tang Xiaoqin

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669432.pdf?arnumber=9669432

Reference33 articles.

1. Microsoft COCO: Common Objects in Context

2. DR Loss: Improving Object Detection by Distributional Ranking

3. Focal Loss for Dense Object Detection

4. FCOS: Fully Convolutional One-Stage Object Detection

5. Using Computer Vision and Deep Learning for Nanoparticle Recognition on Scanning Probe Microscopy Images: Modified U-net Approach

Cited by 2 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. Synthesize More Diverse and Realistic Nanoparticle Image-mask Pairs on Limited Data;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

2. Clara: Semi-Automatic Annotation Algorithm for Medical Image Recognition;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10

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