An accurate prediction for respiratory diseases using deep learning on bronchoscopy diagnosis images
These results demonstrated that our network outperforms other methods in diagnostic performance. The accuracy of our model is roughly the same as that of experienced physicians and the efficiency is much higher than doctors. MARN has great potential for assisting physicians with assessing the bronchoscopic images precisely.
Authors
- Yanbin Zhao (ORCID: https://orcid.org/0000-0003-0153-9764)
- Pengfei Yan (ORCID: https://orcid.org/0000-0002-8635-8403)
- Yuchen Jiang (ORCID: https://orcid.org/0000-0003-3918-7039)
- Hao Luo (ORCID: https://orcid.org/0000-0003-2143-2438)
- Xiang Li (ORCID: https://orcid.org/0000-0003-1657-209X)
- Minglei Li (ORCID: https://orcid.org/0000-0002-1274-2605)
- Weiling Sun
Institutions
- Harbin Medical University (CN)
- Harbin Institute of Technology (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1016/j.jare.2024.11.023
- Citations
- 8
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.35
Funders
- Harbin Medical University
- Health Commission of Heilongjiang Province
- National Natural Science Foundation of China
- Harbin Institute of Technology