Cargando…
A multi-center performance assessment for automated histopathological classification and grading of glioma using whole slide images
Accurate pathological classification and grading of gliomas is crucial in clinical diagnosis and treatment. The application of deep learning techniques holds promise for automated histological pathology diagnosis. In this study, we collected 733 whole slide images from four medical centers, of which...
Autores principales: | Jin, Lei, Sun, Tianyang, Liu, Xi, Cao, Zehong, Liu, Yan, Chen, Hong, Ma, Yixin, Zhang, Jun, Zou, Yaping, Liu, Yingchao, Shi, Feng, Shen, Dinggang, Wu, Jinsong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590813/ https://www.ncbi.nlm.nih.gov/pubmed/37876818 http://dx.doi.org/10.1016/j.isci.2023.108041 |
Ejemplares similares
-
A deep learning framework for automated classification of histopathological kidney whole-slide images
por: Abdeltawab, Hisham A., et al.
Publicado: (2022) -
Unsupervised Domain Adaptation for Classification of Histopathology Whole-Slide Images
por: Ren, Jian, et al.
Publicado: (2019) -
Transfer Learning Approach for Classification of Histopathology Whole Slide Images
por: Ahmed, Shakil, et al.
Publicado: (2021) -
The histopathological diagnosis of atypical meningioma: glass slide versus whole slide imaging for grading assessment
por: Ammendola, Serena, et al.
Publicado: (2020) -
Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides
por: Wei, Jason W., et al.
Publicado: (2020)