[HTML][HTML] Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …
observing patients' anatomy. However, the interpretation of medical images can be highly …
[HTML][HTML] Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses
Site differences, or systematic differences in feature distributions across multiple data-
acquisition sites, are a known source of heterogeneity that may adversely affect large-scale …
acquisition sites, are a known source of heterogeneity that may adversely affect large-scale …
[图书][B] Introduction to artificial intelligence
M Flasiński - 2016 - books.google.com
In the chapters in Part I of this textbook the author introduces the fundamental ideas of
artificial intelligence and computational intelligence. In Part II he explains key AI methods …
artificial intelligence and computational intelligence. In Part II he explains key AI methods …
[HTML][HTML] Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 …
Recently introduced long-axial field-of-view (LAFOV) PET/CT systems represent one of the
most significant advancements in nuclear medicine since the advent of multi-modality …
most significant advancements in nuclear medicine since the advent of multi-modality …
[HTML][HTML] Radiomics-based method for predicting the glioma subtype as defined by tumor grade, IDH mutation, and 1p/19q codeletion
Simple Summary In 2016, the World Health Organization (WHO) recommended the
incorporation of molecular parameters, in addition to histology, for an optimal definition of …
incorporation of molecular parameters, in addition to histology, for an optimal definition of …
[HTML][HTML] Harmonization strategies in multicenter MRI-based radiomics
E Stamoulou, C Spanakis, GC Manikis, G Karanasiou… - Journal of …, 2022 - mdpi.com
Radiomics analysis is a powerful tool aiming to provide diagnostic and prognostic patient
information directly from images that are decoded into handcrafted features, comprising …
information directly from images that are decoded into handcrafted features, comprising …
[HTML][HTML] Applications of artificial intelligence in PSMA PET/CT for prostate cancer imaging
Prostate-specific membrane antigen (PSMA) positron emission tomography/computed
tomography (PET/CT) has emerged as an important imaging technique for prostate cancer …
tomography (PET/CT) has emerged as an important imaging technique for prostate cancer …
[HTML][HTML] Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma
Y Shang, W Chen, G Li, Y Huang, Y Wang, X Kui… - La radiologia …, 2023 - Springer
Objective To investigate the value of Computed Tomography (CT) radiomics derived from
different peritumoral volumes of interest (VOIs) in predicting epidermal growth factor receptor …
different peritumoral volumes of interest (VOIs) in predicting epidermal growth factor receptor …
[HTML][HTML] Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences
Breast cancer is the most prevalent disease that poses a significant threat to women's
health. Despite the Dynamic Contrast-Enhanced MRI (DCE-MRI) has been widely used for …
health. Despite the Dynamic Contrast-Enhanced MRI (DCE-MRI) has been widely used for …
[HTML][HTML] Joint EANM/SNMMI guideline on radiomics in nuclear medicine: Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation …
Purpose The purpose of this guideline is to provide comprehensive information on best
practices for robust radiomics analyses for both hand-crafted and deep learning-based …
practices for robust radiomics analyses for both hand-crafted and deep learning-based …