Cargando…
Study Progress of Radiomics With Machine Learning for Precision Medicine in Bladder Cancer Management
Bladder cancer is a fatal cancer that happens in the genitourinary tract with quite high morbidity and mortality annually. The high level of recurrence rate ranging from 50 to 80% makes bladder cancer one of the most challenging and costly diseases to manage. Faced with various problems in existing...
Autores principales: | Ge, Lingling, Chen, Yuntian, Yan, Chunyi, Zhao, Pan, Zhang, Peng, A, Runa, Liu, Jiaming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892826/ https://www.ncbi.nlm.nih.gov/pubmed/31850202 http://dx.doi.org/10.3389/fonc.2019.01296 |
Ejemplares similares
-
Editorial: Radiomics Advances Precision Medicine
por: Gao, Bo, et al.
Publicado: (2022) -
Radiomics-Guided Precision Medicine Approaches for Colorectal Cancer
por: Quraishi, Mohammed I.
Publicado: (2022) -
Editorial: Radiomics-based theranostics in cancer precision medicine
por: Ji, Jiansong, et al.
Publicado: (2023) -
The role of radiomics with machine learning in the prediction of muscle-invasive bladder cancer: A mini review
por: Huang, Xiaodan, et al.
Publicado: (2022) -
Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma
por: Qian, Zenghui, et al.
Publicado: (2021)