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Correction to: The effect of CT texture‑based analysis using machine learning approaches on radiologists’ performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616774/ https://www.ncbi.nlm.nih.gov/pubmed/35809211 http://dx.doi.org/10.1007/s11604-022-01313-x |
| _version_ | 1784820712302706688 |
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| author | Anai, Kenta Hayashida, Yoshiko Ueda, Issei Hozuki, Eri Yoshimatsu, Yuta Tsukamoto, Jun Hamamura, Toshihiko Onari, Norihiro Aoki, Takatoshi Korogi, Yukunori |
| author_facet | Anai, Kenta Hayashida, Yoshiko Ueda, Issei Hozuki, Eri Yoshimatsu, Yuta Tsukamoto, Jun Hamamura, Toshihiko Onari, Norihiro Aoki, Takatoshi Korogi, Yukunori |
| author_sort | Anai, Kenta |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9616774 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Springer Nature Singapore |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-96167742022-10-30 Correction to: The effect of CT texture‑based analysis using machine learning approaches on radiologists’ performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma Anai, Kenta Hayashida, Yoshiko Ueda, Issei Hozuki, Eri Yoshimatsu, Yuta Tsukamoto, Jun Hamamura, Toshihiko Onari, Norihiro Aoki, Takatoshi Korogi, Yukunori Jpn J Radiol Correction Springer Nature Singapore 2022-07-09 2022 /pmc/articles/PMC9616774/ /pubmed/35809211 http://dx.doi.org/10.1007/s11604-022-01313-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Correction Anai, Kenta Hayashida, Yoshiko Ueda, Issei Hozuki, Eri Yoshimatsu, Yuta Tsukamoto, Jun Hamamura, Toshihiko Onari, Norihiro Aoki, Takatoshi Korogi, Yukunori Correction to: The effect of CT texture‑based analysis using machine learning approaches on radiologists’ performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma |
| title | Correction to: The effect of CT texture‑based analysis using machine learning approaches on radiologists’ performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma |
| title_full | Correction to: The effect of CT texture‑based analysis using machine learning approaches on radiologists’ performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma |
| title_fullStr | Correction to: The effect of CT texture‑based analysis using machine learning approaches on radiologists’ performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma |
| title_full_unstemmed | Correction to: The effect of CT texture‑based analysis using machine learning approaches on radiologists’ performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma |
| title_short | Correction to: The effect of CT texture‑based analysis using machine learning approaches on radiologists’ performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma |
| title_sort | correction to: the effect of ct texture‑based analysis using machine learning approaches on radiologists’ performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma |
| topic | Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616774/ https://www.ncbi.nlm.nih.gov/pubmed/35809211 http://dx.doi.org/10.1007/s11604-022-01313-x |
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