Enhanced U-Net architecture with CNN backbone for accurate segmentation of skin lesions in dermoscopic images

Addressing the critical public health challenge of skin cancer, particularly melanoma and non-melanoma, this study focuses on enhancing early diagnosis through improved automatic segmentation of skin lesions in dermoscopic images. The researchers propose an optimized U-Net architecture that integrat...

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Hlavní autoři:	Aqil Aqthobirrobbany, Resha Dwika Hefni Al-Fahsi, Indah Soesanti, Hanung Adi Nugroho
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Universitas Ahmad Dahlan 2024-08-01
Edice:	IJAIN (International Journal of Advances in Intelligent Informatics)
Témata:	convolution neural network enhanced u-net ensemble segmentation methods skin skin lesion segmentation
On-line přístup:	https://ijain.org/index.php/IJAIN/article/view/1379
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