[HTML][HTML] Characterisation of quantitative imaging biomarkers for inflammatory and fibrotic radiation-induced lung injuries using preclinical radiomics

KH Brown, M Ghita-Pettigrew, BN Kerr… - Radiotherapy and …, 2024 - Elsevier
Background and purpose Radiomics is a rapidly evolving area of research that uses medical
images to develop prognostic and predictive imaging biomarkers. In this study, we aimed to …

Quantitative neuroimaging with handcrafted and deep radiomics in neurological diseases

EA Lavrova - 2024 - cris.maastrichtuniversity.nl
Neurological diseases pose a significant global health challenge, being a leading cause of
disability and the second leading cause of death. These diseases encompass diverse …

Desarrollo de un prototipo de evaluación de larvas de camarón

JA Rodríguez Castillo - 2024 - repositorio.upse.edu.ec
En este trabajo se investigó la implementación de tecnologías avanzadas de inteligencia
artificial (IA) para diseñar una aplicación informática para la evaluación del proceso de …

[PDF][PDF] Radiomics application in non-oncological neurology: overview and challenges

E Lavrova, HC Woodruff, H Khan… - … with handcrafted and … - cris.maastrichtuniversity.nl
Medical imaging technologies have undergone extensive development, enabling non-
invasive visualization of clinical information. The traditional review of medical images by …

[PDF][PDF] Deep Learning for Pneumonia Classification in Chest Radiography Images using Wavelet Transform

A AZEROUAL, B NSIRI, TB DRISSI, A EL AMMARI… - wseas.com
Chronic respiratory diseases constitute a prognostic severity factor for some respiratory
illnesses. A case in point is pneumonia, a lung infection, whose effective management …