Follow-up of liver metastases: a comparison of deep learning and RECIST 1.1.
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| Title: | Follow-up of liver metastases: a comparison of deep learning and RECIST 1.1. |
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| Authors: | Joskowicz L; School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel., Szeskin A; School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel., Rochman S; School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel., Dodi A; School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel., Lederman R; Dept of Radiology, Hadassah Medical Center, Faculty of Medicine, The Hebrew University of Jerusalem, POB 12000, 91120, Jerusalem, Israel., Fruchtman-Brot H; Dept of Radiology, Hadassah Medical Center, Faculty of Medicine, The Hebrew University of Jerusalem, POB 12000, 91120, Jerusalem, Israel., Azraq Y; Dept of Radiology, Hadassah Medical Center, Faculty of Medicine, The Hebrew University of Jerusalem, POB 12000, 91120, Jerusalem, Israel., Sosna J; Dept of Radiology, Hadassah Medical Center, Faculty of Medicine, The Hebrew University of Jerusalem, POB 12000, 91120, Jerusalem, Israel. jacobs@hadassah.org.il. |
| Source: | European radiology [Eur Radiol] 2023 Dec; Vol. 33 (12), pp. 9320-9327. Date of Electronic Publication: 2023 Jul 22. |
| Publication Type: | Journal Article |
| 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/s00330-023-09926-0 |
