Cargando…
Deep learning and radiomics in precision medicine
INTRODUCTION: The radiological reading room is undergoing a paradigm shift to a symbiosis of computer science and radiology using artificial intelligence integrated with machine and deep learning with radiomics to better define tissue characteristics. The goal is to use integrated deep learning and...
Autores principales: | Parekh, Vishwa S., Jacobs, Michael A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6508888/ https://www.ncbi.nlm.nih.gov/pubmed/31080889 http://dx.doi.org/10.1080/23808993.2019.1585805 |
Ejemplares similares
-
Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI
por: Parekh, Vishwa S., et al.
Publicado: (2017) -
Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging
por: Parekh, Vishwa S., et al.
Publicado: (2020) -
59. A RADIOMICS-BASED MACHINE LEARNING MODEL FOR DISTINGUISHING RADIATION NECROSIS FROM PROGRESSION OF BRAIN METASTASES TREATED WITH STEREOTACTIC RADIOSURGERY (SRS)
por: Chen, Xuguang, et al.
Publicado: (2020) -
Precision Medicine in Radiomics and Radiogenomics
por: Monti, Serena
Publicado: (2022) -
A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases
por: Cao, Yilin, et al.
Publicado: (2023)