A non-local dual-stream fusion network for laryngoscope recognition.

Journal: American journal of otolaryngology

PMID: 39729791

Abstract

PURPOSE: To use deep learning technology to design and implement a model that can automatically classify laryngoscope images and assist doctors in diagnosing laryngeal diseases.

Authors

Ran Wei
Yan Liang

Department of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, 85721, United States.
Lei Geng

Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems , Tianjin , China.
Wei Wang

State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
Mei Wei

Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, China.

Keywords

Deep Learning Humans Image Processing, Computer-Assisted Laryngeal Diseases Laryngoscopes Laryngoscopy Neural Networks, Computer

External Resources

View on PubMed Access via DOI PubMed (39729791)

A non-local dual-stream fusion network for laryngoscope recognition.

Abstract

Authors

Keywords

External Resources

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