نتایج جستجو برای: radiomic prediction mri
تعداد نتایج: 357714 فیلتر نتایج به سال:
Background In this study, we developed and validated machine learning (ML) models by combining radiomic features extracted from magnetic resonance imaging (MRI) with clinicopathological factors to assess pulmonary nodule classification for benign malignant diagnosis. Methods A total of 333 consecutive patients nodules (233 in the training cohort 100 validation cohort) were enrolled. 2,824 MRI i...
Novel methods and materials are used in healthcare applications for finding cancer various parts of the human system. To select most suitable therapy plan individuals with domestically progressed cervical cancer, robustness metrics required to estimate their early phase. The goal research is increase effectiveness patients' detection by using deep learning-based radiomics assessment magnetic re...
Human cancers exhibit strong phenotypic differences that can be visualized noninvasively by medical imaging. Radiomics refers to the comprehensive quantification of tumour phenotypes by applying a large number of quantitative image features. Here we present a radiomic analysis of 440 features quantifying tumour image intensity, shape and texture, which are extracted from computed tomography dat...
Site-specific investigations of the role of radiomics in cancer diagnosis and therapy are emerging. We evaluated the reproducibility of radiomic features extracted from 18 Flourine-fluorodeoxyglucose (18 F-FDG) PET images for three parameters: manual versus computer-aided segmentation methods, gray-level discretization, and PET image reconstruction algorithms. Our cohort consisted of pretreatme...
Human Papilloma Virus (HPV) has been associated with oropharyngeal cancer prognosis. Traditionally the HPV status is tested through invasive lab test. Recently, the rapid development of statistical image analysis techniques has enabled precise quantitative analysis of medical images. The quantitative analysis of Computed Tomography (CT) provides a non-invasive way to assess HPV status for oroph...
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