Cargando…
Skin Lesion Detection Algorithms in Whole Body Images
Melanoma is one of the most lethal and rapidly growing cancers, causing many deaths each year. This cancer can be treated effectively if it is detected quickly. For this reason, many algorithms and systems have been developed to support automatic or semiautomatic detection of neoplastic skin lesions...
Autores principales: | Strzelecki, Michał H., Strąkowska, Maria, Kozłowski, Michał, Urbańczyk, Tomasz, Wielowieyska-Szybińska, Dorota, Kociołek, Marcin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513024/ https://www.ncbi.nlm.nih.gov/pubmed/34640959 http://dx.doi.org/10.3390/s21196639 |
Ejemplares similares
-
The use of reflectance confocal microscopy for examination of benign and malignant skin tumors
por: Wielowieyska-Szybińska, Dorota, et al.
Publicado: (2014) -
Melanoma in pregnancy: a case report and review of the literature
por: Wielowieyska-Szybińska, Dorota K., et al.
Publicado: (2015) -
Thermal Time Constant CNN-Based Spectrometry for Biomedical Applications
por: Strąkowska, Maria, et al.
Publicado: (2023) -
A Convolutional Neural Networks-Based Approach for Texture Directionality Detection
por: Kociołek, Marcin, et al.
Publicado: (2022) -
A New Algorithm for Skin Lesion Border Detection in Dermoscopy Images
por: Meskini, E., et al.
Publicado: (2018)