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postgraduate thesis: MRI radiomics model for preoperative prediction of multiple pathological characteristics in endometrial carcinoma
| Title | MRI radiomics model for preoperative prediction of multiple pathological characteristics in endometrial carcinoma |
|---|---|
| Authors | |
| Issue Date | 2024 |
| Publisher | The University of Hong Kong (Pokfulam, Hong Kong) |
| Citation | Zhang, J. [張嘉瑞]. (2024). MRI radiomics model for preoperative prediction of multiple pathological characteristics in endometrial carcinoma. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. |
| Degree | Master of Medical Sciences |
| Subject | Endometrium - Cancer - Magnetic resonance imaging |
| Dept/Program | Diagnostic Radiology |
| Persistent Identifier | http://hdl.handle.net/10722/355537 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhang, Jiarui | - |
| dc.contributor.author | 張嘉瑞 | - |
| dc.date.accessioned | 2025-04-16T08:02:33Z | - |
| dc.date.available | 2025-04-16T08:02:33Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | Zhang, J. [張嘉瑞]. (2024). MRI radiomics model for preoperative prediction of multiple pathological characteristics in endometrial carcinoma. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. | - |
| dc.identifier.uri | http://hdl.handle.net/10722/355537 | - |
| dc.language | eng | - |
| dc.publisher | The University of Hong Kong (Pokfulam, Hong Kong) | - |
| dc.relation.ispartof | HKU Theses Online (HKUTO) | - |
| dc.rights | The author retains all proprietary rights, (such as patent rights) and the right to use in future works. | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject.lcsh | Endometrium - Cancer - Magnetic resonance imaging | - |
| dc.title | MRI radiomics model for preoperative prediction of multiple pathological characteristics in endometrial carcinoma | - |
| dc.type | PG_Thesis | - |
| dc.description.thesisname | Master of Medical Sciences | - |
| dc.description.thesislevel | Master | - |
| dc.description.thesisdiscipline | Diagnostic Radiology | - |
| dc.description.nature | published_or_final_version | - |
| dc.date.hkucongregation | 2025 | - |
| dc.identifier.mmsid | 991044949646003414 | - |
