Cargando…
Different Machine Learning and Deep Learning Methods for the Classification of Colorectal Cancer Lymph Node Metastasis Images
The classification of colorectal cancer (CRC) lymph node metastasis (LNM) is a vital clinical issue related to recurrence and design of treatment plans. However, it remains unclear which method is effective in automatically classifying CRC LNM. Hence, this study compared the performance of existing...
Autores principales: | Li, Jin, Wang, Peng, Zhou, Yang, Liang, Hong, Luan, Kuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841386/ https://www.ncbi.nlm.nih.gov/pubmed/33520971 http://dx.doi.org/10.3389/fbioe.2020.620257 |
Ejemplares similares
-
Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine
por: Wang, Ke-Fan, et al.
Publicado: (2022) -
A deep learning method for foot-type classification using plantar pressure images
por: Zhao, Yangyang, et al.
Publicado: (2023) -
A New Method for CTC Images Recognition Based on Machine Learning
por: He, Binsheng, et al.
Publicado: (2020) -
A novel classification method of lymph node metastasis in colorectal cancer
por: Li, Jin, et al.
Publicado: (2021) -
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning
por: Burdack, Johannes, et al.
Publicado: (2020)