Results 1 to 10 of about 42,977 (292)
Robust imaging habitat computation using voxel-wise radiomics features [PDF]
Scientific Reports, 2021 Tumor heterogeneity has been postulated as a hallmark of treatment resistance and a cure constraint in cancer patients. Conventional quantitative medical imaging (radiomics) can be extended to computing voxel-wise features and aggregating tumor ...
Kinga Bernatowicz +5 more
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Interpretation of radiomics features–A pictorial review
Computer Methods and Programs in Biomedicine, 2022 Radiomics is a newcomer field that has opened new windows for precision medicine. It is related to extraction of a large number of quantitative features from medical images, which may be difficult to detect visually.
Ali Abbasian Ardakani +2 more
exaly +2 more sources
The transformational potential of molecular radiomics
Journal of Medical Radiation Sciences, 2023 Conventional radiomics in nuclear medicine involve hand‐crafted and computer‐assisted regions of interest. Recent developments in artificial intelligence (AI) have seen the emergence of AI‐augmented segmentation and extraction of lower order traditional ...
Geoffrey Currie +2 more
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ERJ Open Research, 2022 Purpose In this study, we propose an artificial intelligence (AI) framework based on three-dimensional convolutional neural networks to classify computed tomography (CT) scans of patients with coronavirus disease 2019 (COVID-19), influenza/community ...
Akshayaa Vaidyanathan +14 more
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Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography
Frontiers in Oncology, 2022 Bioluminescence tomography (BLT) is a promising in vivo molecular imaging tool that allows non-invasive monitoring of physiological and pathological processes at the cellular and molecular levels.
Yanqiu Liu +15 more
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Frontiers in Oncology, 2021 Cerenkov luminescence tomography (CLT) is a promising non-invasive optical imaging method with three-dimensional semiquantitative in vivo imaging capability.
Xiao Wei +12 more
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Thoracic CT radiomics analysis for predicting synchronous brain metastasis in patients with lung cancer [PDF]
, 2022 PURPOSE:We aimed to assess the feasibility of radiomics analysis based on non-contrast-enhanced thoracic CT images in predicting synchronous brain metastasis (SBM) in lung cancer patients at initial diagnosis.METHODS:This retrospective study enrolled 371
Zhimin Ding +5 more
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Scientific Reports, 2023 The paper deals with the evaluation of the performance of an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, in the context of anal cancer.
Ralph T. H. Leijenaar +15 more
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Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer [PDF]
, 2022 PURPOSE: This retrospective study aims to evaluate the use of multi-parametric magnetic resonance imaging (MRI) in predicting lymph-vascular space invasion (LVSI) in early-stage cervical cancer using radiomics methods.
Cui, Linpeng +11 more
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Frontiers in Oncology, 2022 X-ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality in optical molecular imaging, which has attracted more attention and has been widely studied. In XLCT, the accuracy and operational efficiency of an optical transmission
Yanqiu Liu +11 more
doaj +1 more source