Author Correction: Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies
Seong Yun Jeong, Jeong Min Kim, Ji Eun Park, Seung Jun Baek, Seung Nam Yang

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
TopicsVoice and Speech Disorders · Dysphagia Assessment and Management
Correction to: Scientific Reports 10.1038/s41598-023-44802-3, published online 16 October 2023
The Funding section in the original version of this Article was incomplete.
“This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ICT Creative Consilience program (IITP-2022-2020-0-01819) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation).”
now reads
“This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ICT Creative Consilience program (IITP-2022-2020-0-01819) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and by the National Research Foundation of Korea (NRF) Grant through MSIT under Grant No. 2022R1A5A1027646 and No. 2021R1A2C1007215.”
The original Article has been corrected.
