Melanoma segmentation using deep learning with test-time augmentations and conditional random fields

In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging. Lesion segmentation is an initial step in CAD schemes as it leads to low error rates in quantification of the structure, boundary, a...

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Detalles Bibliográficos
Autores principales: Ashraf, Hassan, Waris, Asim, Ghafoor, Muhammad Fazeel, Gilani, Syed Omer, Niazi, Imran Khan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913825/
https://www.ncbi.nlm.nih.gov/pubmed/35273282
http://dx.doi.org/10.1038/s41598-022-07885-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913825/
https://www.ncbi.nlm.nih.gov/pubmed/35273282
http://dx.doi.org/10.1038/s41598-022-07885-y

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