Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review.
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| Title: | Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review. |
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| Authors: | Radiya K; Department of Gastroenterological Surgery at University Hospital of North Norway (UNN), Tromso, Norway. keyur.radiya@uit.no.; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway. keyur.radiya@uit.no., Joakimsen HL; Institute of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.; Centre for Clinical Artificial Intelligence (SPKI), University Hospital of North Norway, Tromso, Norway., Mikalsen KØ; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.; Centre for Clinical Artificial Intelligence (SPKI), University Hospital of North Norway, Tromso, Norway.; UiT Machine Learning Group, Department of Physics and Technology, UiT the Arctic University of Norway, Tromso, Norway., Aahlin EK; Department of Gastroenterological Surgery at University Hospital of North Norway (UNN), Tromso, Norway., Lindsetmo RO; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.; Head Clinic of Surgery, Oncology and Women Health, University Hospital of North Norway, Tromso, Norway., Mortensen KE; Department of Gastroenterological Surgery at University Hospital of North Norway (UNN), Tromso, Norway.; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway. |
| Source: | European radiology [Eur Radiol] 2023 Oct; Vol. 33 (10), pp. 6689-6717. Date of Electronic Publication: 2023 May 12. |
| Publication Type: | Journal Article; Systematic Review |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-023-09609-w |
