Results 41 to 50 of about 71,655 (241)
Insights into Imaging, 2022 Objective To develop and validate an 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT)-based radiomics nomogram for non-invasively prediction of bone marrow involvement (BMI) in pediatric neuroblastoma.
Lijuan Feng +8 more
doaj +1 more source
La radiologia medica, 2021 Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging.
Camilla Scapicchio +5 more
semanticscholar +1 more source
MRI radiomic features are independently associated with overall survival in soft tissue sarcoma [PDF]
, 2019 Purpose: Soft tissue sarcomas (STS) represent a heterogeneous group of diseases, and selection of individualized treatments remains a challenge. The goal of this study was to determine whether radiomic features extracted from magnetic resonance (MR ...
Ball, Kevin C +11 more
core +2 more sources
Can autism be diagnosed with AI? [PDF]
Diagnostics (Basel). 2021 Nov 3;11(11):2032, 2022 Radiomics with deep learning models have become popular in computer-aided diagnosis and have outperformed human experts on many clinical tasks. Specifically, radiomic models based on artificial intelligence (AI) are using medical data (i.e., images, molecular data, clinical variables, etc.) for predicting clinical tasks like Autism Spectrum Disorder ...
arxiv +1 more source
Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
Nature Communications, 2020 Accurate identification of axillary lymph node (ALN) involvement in patients with early-stage breast cancer is important for determining appropriate axillary treatment options and therefore avoiding unnecessary axillary surgery and complications.
Xueyi Zheng +12 more
semanticscholar +1 more source
Radiomics applications in cardiac imaging: a comprehensive review
La radiologia medica, 2023 Radiomics is a new emerging field that includes extraction of metrics and quantification of so-called radiomic features from medical images. The growing importance of radiomics applied to oncology in improving diagnosis, cancer staging and grading, and ...
Tiziano Polidori +12 more
semanticscholar +1 more source
Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. [PDF]
, 2016 Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classification and prediction tasks in radiology and oncology. Quantitative Imaging Network members are developing radiomic "feature" sets to characterize tumors, in ...
Balagurunathan, Yoganand +19 more
core +2 more sources
Criteria for the translation of radiomics into clinically useful tests
Nature Reviews Clinical Oncology, 2022 Despite tens of thousands of radiomic studies, the number of settings in which radiomics is used to guide clinical decision-making is limited, in part owing to a lack of standardization of the radiomic measurement extraction processes and the lack of ...
Erich P Huang +7 more
semanticscholar +1 more source
European Radiology Experimental, 2023 Background Radiomics, the field of image-based computational medical biomarker research, has experienced rapid growth over the past decade due to its potential to revolutionize the development of personalized decision support models. However, despite its
Daniel Abler +9 more
doaj +1 more source
Frontiers in Neuroscience, 2021 PurposeTo investigate whether combining multiple radiomics signatures derived from the subregions of glioblastoma (GBM) can improve survival prediction of patients with GBM.MethodsIn total, 129 patients were included in this study and split into training
Yang Yang +8 more
doaj +1 more source