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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Bibliographic Details
Main Authors: Rabia Öztaş Kara, Devrim Akgün, Bekir Murat Aydın, Gökçen Çetinel, Sevda Gül
Format: Article
Language:English
Published: Sakarya University 2024-12-01
Series:Sakarya University Journal of Computer and Information Sciences
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Online Access:https://dergipark.org.tr/en/download/article-file/4192579
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