DeepPolyp: an artificial intelligence framework for polyp detection and segmentation

Aim: Colorectal cancer is a leading cause of cancer-related mortality, emphasising the need for accurate polyp segmentation during colonoscopy for early detection. Existing methods often struggle to generalize effectively across diverse clinical scenarios. This study introduces DeepPolyp, an artific...

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Bibliografiset tiedot
Päätekijät: Marco Mameli, Sepideh Shiralizadeh, Massimiliano Papi, Iulian Gabriel Coltea
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Open Exploration Publishing Inc. 2025-08-01
Sarja:Exploration of Digital Health Technologies
Aiheet:
polyp segmentation
transformer models
deep learning
real-time inference
colonoscopy
edge computing
Linkit:https://www.explorationpub.com/uploads/Article/A101158/101158.pdf
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