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ContextualCLIP: A Context-Aware and Multi-Grained Fusion Framework for Few-Shot Ultrasound Anomaly Analysis

2025-12-22

Abstract excerpt

Ultrasound (US) imaging is crucial for breast anomaly detection, but its interpretation is subjective and suffers from data scarcity and domain generalization issues. Existing deep learning models struggle to achieve both precise pixel-level localization and fine-grained image-level classification simultaneously, especially in few-shot and cross-domain settings. To address these challenges, we propose ContextualCL...

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Literature Corpus work
dfc41236-fa1d-5612-bd46-ac4aebeb3337
DOI
10.20944/preprints202512.1847.v1
Open publication

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ContextualCLIP: A Context-Aware and Multi-Grained Fusion Framework for Few-Shot Ultrasound Anomaly AnalysisDOI 10.20944/preprints202512.1847.v1
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