March 15, 2024, 4:46 a.m. | Soumen Basu, Mayuna Gupta, Chetan Madan, Pankaj Gupta, Chetan Arora

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.08848v1 Announce Type: cross
Abstract: In recent years, automated Gallbladder Cancer (GBC) detection has gained the attention of researchers. Current state-of-the-art (SOTA) methodologies relying on ultrasound sonography (US) images exhibit limited generalization, emphasizing the need for transformative approaches. We observe that individual US frames may lack sufficient information to capture disease manifestation. This study advocates for a paradigm shift towards video-based GBC detection, leveraging the inherent advantages of spatiotemporal representations. Employing the Masked Autoencoder (MAE) for representation learning, we address …

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