Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes
Background Accurate prediction of tumor molecular alterations is vital for optimizing cancer
treatment. Traditional tissue-based approaches encounter limitations due to invasiveness …
treatment. Traditional tissue-based approaches encounter limitations due to invasiveness …
Body composition radiomic features as a predictor of survival in patients with non-small cellular lung carcinoma: A multicenter retrospective study
M Rozynek, Z Tabor, S Kłęk, W Wojciechowski - Nutrition, 2024 - Elsevier
Objectives This study combined two novel approaches in oncology patient outcome
predictions—body composition and radiomic features analysis. The aim of this study was to …
predictions—body composition and radiomic features analysis. The aim of this study was to …
Novel post-photographic technique based on deep convolutional neural network and blockchain technology
H Geng, M Zhou - The Journal of Supercomputing, 2024 - Springer
This work aims to explore the fusion of deep learning and blockchain technology for
research applications in photography and art studies. A digital image watermarking model is …
research applications in photography and art studies. A digital image watermarking model is …