SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection

Kollias, Dimitrios and Arsenos, Anastasios and Wingate, James and Kollias, Stefanos (2025) SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection. EAI Endorsed Transactions of Pervasive Health and Technology.

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Abstract

This paper presents a new approach for effective segmentation of images that can be integrated into any model and methodology; the paradigm that we choose is classification of medical images (3-D chest CT scans) for Covid-19 detection. Our approach includes a combination of vision-language models th

Item Type: Article
Date Deposited: 04 Mar 2026 18:31
Last Modified: 10 Apr 2026 22:57
URI: http://eprints.eai.eu/id/eprint/52854

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