An Evaluation of Skin Lesion Segmentation Using Deep Learning Architectures

Skin lesion segmentation for recognizing and defining the boundaries of skin lesions in images is proper for automated analysis of skin lesion images, especially for the early diagnosis and detection of skin cancers. Deep learning architectures are an efficient way to implement segmentation once a s...

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Veröffentlicht in:	Sakarya university journal of computer and information sciences 2024-12, Vol.7 (3), p.449-459
Hauptverfasser:	Çetinel, Gökçen, Aydın, Bekir Murat, Gül, Sevda, Akgün, Devrim, Öztaş Kara, Rabia
Format:	Artikel
Sprache:	eng
Schlagworte:	deep learning architectures deeplabv3 feature pyramids network skin lesion segmentation unet
Online-Zugang:	Volltext
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