A survey on deep learning for skin lesion segmentation

Skin cancer is a major public health problem that could benefit from computer-aided diagnosis to reduce the burden of this common disease. Skin lesion segmentation from images is an important step toward achieving this goal. However, the presence of natural and artificial artifacts (e.g., hair and a...

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Bibliographische Detailangaben

Veröffentlicht in:	Medical image analysis Jg. 88; S. 102863
Hauptverfasser:	Mirikharaji, Zahra, Abhishek, Kumar, Bissoto, Alceu, Barata, Catarina, Avila, Sandra, Valle, Eduardo, Celebi, M. Emre, Hamarneh, Ghassan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.08.2023
Schlagworte:	Deep Learning Diagnosis, Computer-Assisted - methods Humans Image Processing, Computer-Assisted - methods Neural Networks, Computer Segmentation Skin Diseases Skin lesion Skin Neoplasms - diagnostic imaging Skin Neoplasms - pathology Survey Deep learning Survey Skin lesion Segmentation
ISSN:	1361-8415, 1361-8423, 1361-8423
Online-Zugang:	Volltext
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