Titlebook: Cancer Prevention, Detection, and Intervention; Third MICCAI Worksho Sharib Ali,Fons van der Sommen,Iris Kolenbrander Conference proceeding

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242018.jpg

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Cancer Prevention, Detection, and Intervention978-3-031-73376-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Pedro Rodrigues,Filipe Freitas,José Sim?oosis system for early detection and enhanced treatment. Traditional approaches rely on the expertise of gastroenterologists to identify diseases. However, it is a subjective process, and the interpretation can vary even between expert clinicians. Considering recent progress in classifying gastrointe

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Armando Ruggeri,Massimo Villariarning has emerged as a potential solution to this problem. In this work, we leverage the strengths of meta-learning, the primary framework for few-shot learning, along with diffusion-based generative models to enhance few-shot learning capabilities. We propose a novel method that jointly trains a d

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