M Santer, M Kloppenburg, TM Gottfried, A Runge… - Cancers, 2022 - mdpi.com
Simple Summary Locally-advanced head and neck squamous cell carcinoma (HNSCC) is mainly defined by the presence of pathologic cervical lymph nodes (LNs). Radiologic criteria …
G Bruixola, E Remacha, A Jiménez-Pastor… - Cancer Treatment …, 2021 - Elsevier
The application of imaging biomarkers in oncology is still in its infancy, but with the expansion of radiomics and radiogenomics a revolution is expected in this field. This may be …
Y Zhou, GY Su, H Hu, YQ Ge, Y Si, MP Shen, XQ Xu… - European …, 2020 - Springer
Objective To investigate the value of radiomics analysis of dual-energy computed tomography (DECT)–derived iodine maps for preoperative diagnosing cervical lymph nodes …
L Hou, W Zhou, J Ren, X Du, L Xin, X Zhao… - Frontiers in …, 2020 - frontiersin.org
Objective: To develop and validate a radiomics predictive model based on multiparameter MR imaging features and clinical features to predict lymph node metastasis (LNM) in …
C Huang, J Hu, K Tan, W Zhang, T Xu, L Yang - BMC geriatrics, 2022 - Springer
Background With rapid economic development, the world's average life expectancy is increasing, leading to the increasing prevalence of osteoporosis worldwide. However, due …
H Wang, Y Zhou, L Li, W Hou, X Ma, R Tian - European Radiology, 2020 - Springer
Objectives To perform a systematic review regarding the developments in the field of radiomics in lymphoma. To evaluate the quality of included articles by the Quality …
Y Liu, Q Fang, A Jiang, Q Meng, G Pang… - Computer Methods and …, 2021 - Elsevier
Background and objective Early hemorrhage enlargement in hypertensive cerebral hemorrhage indicates a poor prognosis. This study aims to predict the early enlargement of …
A Euler, FC Laqua, D Cester, N Lohaus, T Sartoretti… - Cancers, 2021 - mdpi.com
Simple Summary Virtual monoenergetic images from dual-energy CT are incrementally used in routine clinical practice. Thus, radiomic analysis will be more often performed on …
The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms …