Feature Extraction
PyTorch
English
moozy
pathology
computational-pathology
digital-pathology
foundation-model
whole-slide-image
vision-transformer
self-supervised-learning
slide-encoder
case-encoder
histopathology
medical-imaging
multiple-instance-learning
slide-level-representation
patient-level-representation
multi-task-learning
survival-analysis
cancer
oncology
tissue-classification
mutation-prediction
TCGA
CPTAC
transformer
Eval Results (legacy)
docs: update citation to arXiv @misc format
Browse files
README.md
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## Citation
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```bibtex
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```
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## Citation
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```bibtex
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@misc{kotp2026moozypatientfirstfoundationmodel,
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title={MOOZY: A Patient-First Foundation Model for Computational Pathology},
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author={Yousef Kotp and Vincent Quoc-Huy Trinh and Christopher Pal and Mahdi S. Hosseini},
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year={2026},
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eprint={2603.27048},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2603.27048},
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}
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```
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