most citedVision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images

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eess.IV2025

State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability

Saeide Danaei, Zahra Dehghanian, Elahe Meftah +4

This systematic review critically evaluates publicly available abdominal CT datasets and their suitability for artificial intelligence (AI) applications in clinical settings. We ex…

eess.IV2025★ 3 cited

Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images

Mohammad Amin Khalafi, Seyed Amir Ahmad Safavi-Naini, Ameneh Salehi +13

Introduction: This study provides a comprehensive performance assessment of vision-language models (VLMs) against established convolutional neural networks (CNNs) and classic machi…