Foundation-Model-Driven Skin Lesion Segmentation and Classification Using SAM-Adapters and Vision Transformers

<b>Background:</b> The precise segmentation and classification of dermoscopic images remain prominent obstacles in automated skin cancer evaluation due, in part, to variability in lesions, low-contrast borders, and additional artifacts in the background. There have been recent developments in founda...

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Principais autores:	Faisal Binzagr, Majed Hariri
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2026-02-01
סדרה:	Diagnostics
נושאים:	foundation models segment anything model vision transformer skin lesion segmentation skin cancer classification dermoscopic image analysis
גישה מקוונת:	https://www.mdpi.com/2075-4418/16/3/468
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!