AΚtransU-Net: Transformer-Equipped U-Net Model for Improved Actinic Keratosis Detection in Clinical Photography

<b>Background:</b> Integrating artificial intelligence into clinical photography offers great potential for monitoring skin conditions such as actinic keratosis (AK) and skin field cancerization. Identifying the extent of AK lesions often requires more than analyzing lesion morphology—it also depend...

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Auteurs principaux:	Panagiotis Derekas, Charalampos Theodoridis, Aristidis Likas, Ioannis Bassukas, Georgios Gaitanis, Athanasia Zampeta, Despina Exadaktylou, Panagiota Spyridonos
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-07-01
Collection:	Diagnostics
Sujets:	medical image segmentation U-net transformer skin lesions actinic keratosis cutaneous cancerization field
Accès en ligne:	https://www.mdpi.com/2075-4418/15/14/1752
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