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SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Trinh, Quoc-Huy, Nguyen, Hai-Dang, Ngoc, Bao-Tram Nguyen, Jha, Debesh, Bagci, Ulas, Tran, Minh-Triet
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
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