[HTML][HTML] Eleven grand challenges in single-cell data science
The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
Radiomics in oncology: a practical guide
Radiomics refers to the extraction of mineable data from medical imaging and has been
applied within oncology to improve diagnosis, prognostication, and clinical decision support …
applied within oncology to improve diagnosis, prognostication, and clinical decision support …
Radiomics: the bridge between medical imaging and personalized medicine
Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …
medical imaging that enables data to be extracted and applied within clinical-decision …
[HTML][HTML] Repeatability and reproducibility of radiomic features: a systematic review
Purpose An ever-growing number of predictive models used to inform clinical decision
making have included quantitative, computer-extracted imaging biomarkers, or “radiomic …
making have included quantitative, computer-extracted imaging biomarkers, or “radiomic …
Fusion-based tensor radiomics using reproducible features: application to survival prediction in head and neck cancer
MR Salmanpour, M Hosseinzadeh, SM Rezaeijo… - Computer Methods and …, 2023 - Elsevier
Background Numerous features are commonly generated in radiomics applications as
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …
Beyond imaging: the promise of radiomics
The domain of investigation of radiomics consists of large-scale radiological image analysis
and association with biological or clinical endpoints. The purpose of the present study is to …
and association with biological or clinical endpoints. The purpose of the present study is to …
Histologic subtype classification of non-small cell lung cancer using PET/CT images
Y Han, Y Ma, Z Wu, F Zhang, D Zheng, X Liu… - European journal of …, 2021 - Springer
Purposes To evaluate the capability of PET/CT images for differentiating the histologic
subtypes of non-small cell lung cancer (NSCLC) and to identify the optimal model from …
subtypes of non-small cell lung cancer (NSCLC) and to identify the optimal model from …
[HTML][HTML] Within-modality synthesis and novel radiomic evaluation of brain MRI scans
Simple Summary Brain MRI scans often require different imaging sequences based on
tissue types, posing a common challenge. In our research, we propose a method that utilizes …
tissue types, posing a common challenge. In our research, we propose a method that utilizes …
[HTML][HTML] Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …
imaging techniques provided a unique opportunity to turn medical imaging from mostly …