Cargando…
Automated Diagnosis and Localization of Melanoma from Skin Histopathology Slides Using Deep Learning: A Multicenter Study
In traditional hospital systems, diagnosis and localization of melanoma are the critical challenges for pathological analysis, treatment instructions, and prognosis evaluation particularly in skin diseases. In literature, various studies have been reported to address these issues; however, a promine...
Autores principales: | Li, Tao, Xie, Peizhen, Liu, Jie, Chen, Mingliang, Zhao, Shuang, Kang, Wenjie, Zuo, Ke, Li, Fangfang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564171/ https://www.ncbi.nlm.nih.gov/pubmed/34745503 http://dx.doi.org/10.1155/2021/5972962 |
Ejemplares similares
-
Interpretable Diagnosis for Whole-Slide Melanoma Histology Images Using Convolutional Neural Network
por: Xie, Peizhen, et al.
Publicado: (2021) -
Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides
por: Wei, Jason W., et al.
Publicado: (2020) -
A deep learning framework for automated classification of histopathological kidney whole-slide images
por: Abdeltawab, Hisham A., et al.
Publicado: (2022) -
Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning
por: Syrykh, Charlotte, et al.
Publicado: (2020) -
Real-time whole slide mosaicing for non-automated microscopes in histopathology analysis
por: Gherardi, Alessandro, et al.
Publicado: (2013)