CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images-Reference-Cited by-同舟云学术

CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images

Published:2022-03-16 Issue:5 Volume:54 Page:3771-3792
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Punn Narinder Singh^ORCID,Agarwal Sonali

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-022-10785-x.pdf

Reference58 articles.

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4. accessed December 10, 2021] (2020)

5. Punn NS, Sonbhadra SK, Agarwal S (2005) Monitoring covid-19 social distancing with person detection and tracking via fine-tuned yolo v3 and deepsort techniques. arXiv preprint arXiv:2005.01385

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