Author Correction: Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-09-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-42267-y |
| _version_ | 1827723474579226624 |
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| author | Junbong Jang Young H. Kim Brian Westgate Yang Zong Caleb Hallinan Ali Akalin Kwonmoo Lee |
| author_facet | Junbong Jang Young H. Kim Brian Westgate Yang Zong Caleb Hallinan Ali Akalin Kwonmoo Lee |
| author_sort | Junbong Jang |
| collection | DOAJ |
| first_indexed | 2024-03-10T22:01:17Z |
| format | Article |
| id | doaj.art-40fa0caa67944f909952772a84b5fc01 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-10T22:01:17Z |
| publishDate | 2023-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-40fa0caa67944f909952772a84b5fc012023-11-19T12:56:38ZengNature PortfolioScientific Reports2045-23222023-09-011311110.1038/s41598-023-42267-yAuthor Correction: Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifierJunbong Jang0Young H. Kim1Brian Westgate2Yang Zong3Caleb Hallinan4Ali Akalin5Kwonmoo Lee6Department of Biomedical Engineering, Worcester Polytechnic InstituteDepartment of Radiology, University of Massachusetts Medical SchoolDepartment of Biomedical Engineering, Worcester Polytechnic InstituteDepartment of Pathology, University of Massachusetts Medical SchoolVascular Biology Program, Boston Children’s HospitalDepartment of Pathology, University of Massachusetts Medical SchoolDepartment of Biomedical Engineering, Worcester Polytechnic Institutehttps://doi.org/10.1038/s41598-023-42267-y |
| spellingShingle | Junbong Jang Young H. Kim Brian Westgate Yang Zong Caleb Hallinan Ali Akalin Kwonmoo Lee Author Correction: Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier Scientific Reports |
| title | Author Correction: Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier |
| title_full | Author Correction: Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier |
| title_fullStr | Author Correction: Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier |
| title_full_unstemmed | Author Correction: Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier |
| title_short | Author Correction: Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier |
| title_sort | author correction screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning based classifier |
| url | https://doi.org/10.1038/s41598-023-42267-y |
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