Cargando…
Deep Radiotranscriptomics of Non-Small Cell Lung Carcinoma for Assessing Molecular and Histology Subtypes with a Data-Driven Analysis
Radiogenomic and radiotranscriptomic studies have the potential to pave the way for a holistic decision support system built on genomics, transcriptomics, radiomics, deep features and clinical parameters to assess treatment evaluation and care planning. The integration of invasive and routine imagin...
Autores principales: | Trivizakis, Eleftherios, Souglakos, John, Karantanas, Apostolos, Marias, Kostas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700168/ https://www.ncbi.nlm.nih.gov/pubmed/34943617 http://dx.doi.org/10.3390/diagnostics11122383 |
Ejemplares similares
-
A neural pathomics framework for classifying colorectal cancer histopathology images based on wavelet multi-scale texture analysis
por: Trivizakis, Eleftherios, et al.
Publicado: (2021) -
Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)
por: Trivizakis, Eleftherios, et al.
Publicado: (2020) -
Emerging deep learning techniques using magnetic resonance imaging data applied in multiple sclerosis and clinical isolated syndrome patients (Review)
por: Kontopodis, Eleftherios E., et al.
Publicado: (2021) -
Cerebral CT Perfusion in Acute Stroke: The Effect of Lowering the Tube Load and Sampling Rate on the Reproducibility of Parametric Maps
por: Ioannidis, Georgios S., et al.
Publicado: (2021) -
Advancing COVID-19 differentiation with a robust preprocessing and integration of multi-institutional open-repository computer tomography datasets for deep learning analysis
por: Trivizakis, Eleftherios, et al.
Publicado: (2020)