[Identifying Novel Coronavirus Pneumonia With CT Images: A Deep Learning Approach With Detail Upsampling and Attention Guidance].

Journal: Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Published Date: Mar 20, 2024

Abstract

OBJECTIVE: To construct a deep learning-based target detection method to help radiologists perform rapid diagnosis of lesions in the CT images of patients with novel coronavirus pneumonia (NCP) by restoring detailed information and mining local information.

Authors

  • Junren Chen
    （ 610065） School of Computer Science, Sichuan University, Chengdu 610065, China.
  • Rui Chen
    College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shanxi, China.
  • Jiajun Qiu
    Department of Informatics, I12-Chair of Bioinformatics and Computational Biology, Technical University of Munich (TUM), Boltzmannstrasse 3, 85748, Garching, Munich, Germany; TUM Graduate School, Center of Doctoral Studies in Informatics and Its Applications (CeDoSIA), Garching, 85748, Germany. Electronic address: jiajunqiu@hotmail.com.
  • Jin Yin
    （ 610065） School of Computer Science, Sichuan University, Chengdu 610065, China.
  • Lei Zhang
    Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.

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