[HTML][HTML] Delta radiomics: an updated systematic review
V Nardone, A Reginelli, D Rubini, F Gagliardi… - La radiologia …, 2024 - Springer
Background Radiomics can provide quantitative features from medical imaging that can be
correlated with various biological features and diverse clinical endpoints. Delta radiomics …
correlated with various biological features and diverse clinical endpoints. Delta radiomics …
[HTML][HTML] Longitudinal Image Data for Outcome Modeling
JE van Timmeren, J Bussink, P Koopmans, RJ Smeenk… - Clinical Oncology, 2024 - Elsevier
In oncology, medical imaging is crucial for diagnosis, treatment planning and therapy
execution. Treatment responses can be complex and varied and are known to involve …
execution. Treatment responses can be complex and varied and are known to involve …
[HTML][HTML] Analysis of treatment response based on 1.5 T magnetic resonance imaging texture analysis in stereotactic body radiotherapy of hepatocellular carcinoma
M Zhang, Z Li, Y Yin - Journal of Radiation Research and Applied Sciences, 2024 - Elsevier
Abstract Purpose Magnetic Resonance Image (MRI)-guided stereotactic body radiotherapy
(MRgSBRT) is a promising technique in the treatment of hepatocellular carcinoma (HCC) …
(MRgSBRT) is a promising technique in the treatment of hepatocellular carcinoma (HCC) …
[HTML][HTML] A Novel Approach for Predicting CO2 Emissions in the Building Industry Using a Hybrid Multi-Strategy Improved Particle Swarm Optimization–Long Short …
Y Hu, B Wang, Y Yang, L Yang - Energies, 2024 - mdpi.com
The accurate prediction of carbon dioxide (CO2) emissions in the building industry can
provide data support and theoretical insights for sustainable development. This study …
provide data support and theoretical insights for sustainable development. This study …
Prediction of SBRT response in liver cancer by combining original and delta cone-beam CT radiomics: a pilot study
This study aims to explore the feasibility of utilizing a combination of original and delta cone-
beam CT (CBCT) radiomics for predicting treatment response in liver tumors undergoing …
beam CT (CBCT) radiomics for predicting treatment response in liver tumors undergoing …
Machine Learning Application for Classification of Brain Tumors Through MR Images to Detect Malignancy
K Chanda, JV Tiwari, S Banik… - … , and Intelligent Systems …, 2023 - ieeexplore.ieee.org
In the present paper classification of Brain Tumours through MRI imaging as Fine, Medium
and Coarse textures is proposed. The other methods of classification of brain tumours that …
and Coarse textures is proposed. The other methods of classification of brain tumours that …