Cargando…
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
PURPOSE: The aim of this systematic review was to analyse literature on artificial intelligence (AI) and radiomics, including all medical imaging modalities, for oncological and non-oncological applications, in order to assess how far the image mining research stands from routine medical application...
Autores principales: | Sollini, Martina, Antunovic, Lidija, Chiti, Arturo, Kirienko, Margarita |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879445/ https://www.ncbi.nlm.nih.gov/pubmed/31214791 http://dx.doi.org/10.1007/s00259-019-04372-x |
Ejemplares similares
-
Imaging-Based Prediction of Molecular Therapy Targets in NSCLC by Radiogenomics and AI Approaches: A Systematic Review
por: Ninatti, Gaia, et al.
Publicado: (2020) -
PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology
por: Sollini, M., et al.
Publicado: (2017) -
Convolutional Neural Networks Promising in Lung Cancer T-Parameter Assessment on Baseline FDG-PET/CT
por: Kirienko, Margarita, et al.
Publicado: (2018) -
COVID-19 vaccination, implications for PET/CT image interpretation and future perspectives
por: Kirienko, Margarita, et al.
Publicado: (2022) -
PSMA expression level predicts differentiated thyroid cancer aggressiveness and patient outcome
por: Sollini, Martina, et al.
Publicado: (2019)