Correction: Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images
Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, Tae Hoon Lee, Yongwon Cho, Tae Hoon Kim

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNasal Surgery and Airway Studies · Sinusitis and nasal conditions
Correction to: Tai et al. BMC Medical Informatics and Decision Making (2024) 24:145
10.1186/s12911-024-02517-z
Following the publication of the Original Article, the author reported an incorrect Funding from the ICT Creative Consilience program as follows: IITP-2023-2020-0-01819.
The correct number is IITP-2024-2020-0-01819.
The Original Article has been corrected.
