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Author

Natalie Gangai

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Preprint Sep 2026

Spectral Adapters for Segment Anything Model-based Segmentation of Colorectal Liver Metastases in Computed Tomography

Accurate segmentation of colorectal liver metastases (CRLM) in contrast-enhanced computed tomography (CT) is important for response assessment, surgical planning, and follow-up. We propose two parameter-efficient spectral adapters for the Segment Anything Model (SAM): the Directional Spectral Adapter (DiSECT) and Spect...

R. Mojtahedi, Mohammad Hamghalam, Jacob J. Peoples et al. · 0 citations

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