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Publicação
Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation
Orientador(es)
Resumo(s)
Image segmentation is a key stage in medical image processing algorithms and machine learning classifiers
where identification of discriminative features are of utmost importance. In the case of skin lesions, most of the
existing image segmentation approaches aim at minimising some error metric between computed and ground
truth regions of interest (ROI) defined by medical experts, where ROI delineation is not always considered.
This paper proposes an image segmentation method for skin lesion delineation, which expands traditional
histogram and clustering-based approaches to achieve the best trade-off between both. The proposed method
is capable of providing accurate details of the skin lesion borders, without deviating from the coarser borders
of the available ground-truth.
Descrição
Palavras-chave
Segmentation Skin Lesion Detection Medical Imaging Dermoscopy
Contexto Educativo
Citação
Pereira, P. M. M., Pereira, P. A. A., Tavora, L. M. N., Fonseca-Pinto, R. P., Paiva, R. P., Assuncao, P. M. M., Assuncao, P. A. A. and M. de Faria, S. M. (2019). Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOIMAGING; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 84-91. DOI: 10.5220/0007354100840091
Editora
SCITEPRESS - Science and Technology Publications