Cargando…
Automated Classification of Lung Cancer Subtypes Using Deep Learning and CT-Scan Based Radiomic Analysis
Artificial intelligence and emerging data science techniques are being leveraged to interpret medical image scans. Traditional image analysis relies on visual interpretation by a trained radiologist, which is time-consuming and can, to some degree, be subjective. The development of reliable, automat...
Autores principales: | Dunn, Bryce, Pierobon, Mariaelena, Wei, Qi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295141/ https://www.ncbi.nlm.nih.gov/pubmed/37370621 http://dx.doi.org/10.3390/bioengineering10060690 |
Ejemplares similares
-
Deep learning models-based CT-scan image classification for automated screening of COVID-19
por: Gupta, Kapil, et al.
Publicado: (2023) -
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices
por: Ahuja, Sakshi, et al.
Publicado: (2020) -
Deep Learning Based Automated Orthotopic Lung Tumor Segmentation in Whole-Body Mouse CT-Scans
por: van de Worp, Wouter R. P. H., et al.
Publicado: (2021) -
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning
por: Tharmaseelan, Hishan, et al.
Publicado: (2023) -
Predicting the invasiveness of lung adenocarcinomas appearing as ground-glass nodule on CT scan using multi-task learning and deep radiomics
por: Wang, Xiang, et al.
Publicado: (2020)