Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification
JCO Clinical Cancer Informatics 10 (2026), e2500135.
The public PMC copy is the NIH author manuscript; no Creative Commons licence is asserted here.
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This journal article is recorded in JCO Clinical Cancer Informatics (2026). This page consolidates verified bibliographic metadata and the external records or research artifacts listed here.
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- Work type
- Journal article
- Year
- 2026
- Publication date
- 2026-01-30
- Status
- Published · Free manuscript
- Venue
- JCO Clinical Cancer Informatics
- Publisher
- American Society of Clinical Oncology
- Volume
- 10
- Issue
- 1
- Article
- e2500135
- Last verified
- 2026-08-02
Research topics
- self-supervised learning
- vision transformers
- liver tumor segmentation
- tumor classification
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Ramtin Mojtahedi, Mohammad Hamghalam, Jacob J. Peoples, William R. Jarnagin, Richard K. G. Do, and Amber L. Simpson. “Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification.” JCO Clinical Cancer Informatics 10 (2026), e2500135. https://doi.org/10.1200/CCI-25-00135
@article{Mojtahedi2026SelfSupervised,
author = {Ramtin Mojtahedi and Mohammad Hamghalam and Jacob J. Peoples and William R. Jarnagin and Richard K. G. Do and Amber L. Simpson},
title = {{Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification}},
year = {2026},
journal = {JCO Clinical Cancer Informatics},
volume = {10},
number = {1},
eid = {e2500135},
doi = {10.1200/CCI-25-00135},
url = {https://doi.org/10.1200/CCI-25-00135},
note = {The public PMC copy is the NIH author manuscript; no Creative Commons licence is asserted here.}
}
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