Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification.
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| Title: | Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification. |
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| Authors: | Mojtahedi R; School of Computing, Queen's University, Kingston, ON, Canada., Hamghalam M; School of Computing, Queen's University, Kingston, ON, Canada.; Department of Electrical Engineering, Qa.C., Islamic Azad University, Qazvin, Iran., Peoples JJ; School of Computing, Queen's University, Kingston, ON, Canada., Jarnagin WR; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY., Do RKG; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY., Simpson AL; School of Computing, Queen's University, Kingston, ON, Canada.; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada. |
| Source: | JCO clinical cancer informatics [JCO Clin Cancer Inform] 2026 Feb; Vol. 10, pp. e2500135. Date of Electronic Publication: 2026 Jan 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Society of Clinical Oncology Country of Publication: United States NLM ID: 101708809 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4276 (Electronic) Linking ISSN: 24734276 NLM ISO Abbreviation: JCO Clin Cancer Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2473-4276 |
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| DOI: | 10.1200/CCI-25-00135 |
