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20232026
most citedTowards Optimal Patch Size in Vision Transformers for Tumor Segmentation

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cs.CV2026

Parameter-Efficient Fine-Tuning of Foundation Models for Liver Tumor Segmentation in CT

Ramtin Mojtahedi, Mohammad Hamghalam, Jacob J. Peoples +2

We evaluated parameter-efficient fine-tuning (PEFT) of the Segment Anything Model (SAM) for liver tumor segmentation in abdominal CT of colorectal liver metastases. We compared Low…