Cargando…
Convolutional neural networks for the detection of malignant melanoma in dermoscopy images
INTRODUCTION: Convolutional neural networks gained popularity due to their ability to detect and classify objects in images and videos. It gives also an opportunity to use them for medical tasks in such specialties like dermatology, radiology or ophthalmology. The aim of this study was to investigat...
Autores principales: | Kwiatkowska, Dominika, Kluska, Piotr, Reich, Adam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330874/ https://www.ncbi.nlm.nih.gov/pubmed/34377121 http://dx.doi.org/10.5114/ada.2021.107927 |
Ejemplares similares
-
Beyond PD-1 Immunotherapy in Malignant Melanoma
por: Kwiatkowska, Dominika, et al.
Publicado: (2019) -
Acral melanoma detection using a convolutional neural network for dermoscopy images
por: Yu, Chanki, et al.
Publicado: (2018) -
Correction: Acral melanoma detection using a convolutional neural network for dermoscopy images
por: Yu, Chanki, et al.
Publicado: (2018) -
Acral melanoma detection using dermoscopic images and convolutional neural networks
por: Abbas, Qaiser, et al.
Publicado: (2021) -
The Importance of Dermoscopy in Early Recognition of Melanoma in Situ
por: IANOSI, SL, et al.
Publicado: ( 201)