Cargando…
Automatic identification of benign pigmented skin lesions from clinical images using deep convolutional neural network
OBJECTIVE: We aimed to develop a computer-aided detection (CAD) system for accurate identification of benign pigmented skin lesions (PSLs) from images captured using a digital camera or a smart phone. METHODS: We collected a total of 12,836 clinical images which had been classified and location-labe...
Autores principales: | Ding, Hui, Zhang, Eejia, Fang, Fumin, Liu, Xing, Zheng, Huiying, Yang, Hedan, Ge, Yiping, Yang, Yin, Lin, Tong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552359/ https://www.ncbi.nlm.nih.gov/pubmed/36217185 http://dx.doi.org/10.1186/s12896-022-00755-5 |
Ejemplares similares
-
A deep learning-based hybrid artificial intelligence model for the detection and severity assessment of vitiligo lesions
por: Guo, Lifang, et al.
Publicado: (2022) -
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images
por: Kaur, Ranpreet, et al.
Publicado: (2022) -
Deep Hybrid Convolutional Neural Network for Segmentation of Melanoma Skin Lesion
por: Yang, Cheng-Hong, et al.
Publicado: (2021) -
Automatic Detection and Classification of Focal Liver Lesions Based on Deep Convolutional Neural Networks: A Preliminary Study
por: Zhou, Jiarong, et al.
Publicado: (2021) -
Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours—A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and Convolutional Neural Networks
por: Lindholm, Vivian, et al.
Publicado: (2022)