Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/115970
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Health Technology and Informatics | - |
| dc.creator | Ng, CKC | - |
| dc.creator | Leung, VWS | - |
| dc.date.accessioned | 2025-11-18T06:48:37Z | - |
| dc.date.available | 2025-11-18T06:48:37Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/115970 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Frontiers Media SA | en_US |
| dc.rights | © 2025 Ng and Leung. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | en_US |
| dc.rights | The following publication Ng CKC and Leung VWS (2025) Editorial: Artificial intelligence in radiology and radiation oncology. Front. Radiol. 5:1657119 is available at https://doi.org/10.3389/fradi.2025.1657119. | en_US |
| dc.subject | Artificial intelligence | en_US |
| dc.subject | Computer-aided detection | en_US |
| dc.subject | Deep learning | en_US |
| dc.subject | Image synthesis | en_US |
| dc.subject | Medical imaging | en_US |
| dc.subject | Radiation oncology | en_US |
| dc.subject | Radiology | en_US |
| dc.subject | Radiomics | en_US |
| dc.title | Editorial : Artificial intelligence in radiology and radiation oncology | en_US |
| dc.type | Editorial/Preface (Journal) | en_US |
| dc.identifier.volume | 5 | - |
| dc.identifier.doi | 10.3389/fradi.2025.1657119 | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Frontiers in radiology, 2025, v. 5, 1657119 | - |
| dcterms.isPartOf | Frontiers in radiology | - |
| dcterms.issued | 2025 | - |
| dc.identifier.scopus | 2-s2.0-105012604486 | - |
| dc.identifier.eissn | 2673-8740 | - |
| dc.identifier.artn | 1657119 | - |
| dc.description.validate | 202511 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | Self-funded | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| fradi-5-1657119.pdf | 87.5 kB | Adobe PDF | View/Open |
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