نتایج جستجو برای: radiomic prediction mri
تعداد نتایج: 357714 فیلتر نتایج به سال:
Abstract PURPOSE The significant heterogeneity of glioblastoma is typically displayed on both phenotypical and molecular levels. Non-invasive in vivo approaches to characterize this would potentially facilitate personalized therapies. Here we leverage advanced unsupervised machine learning integrate radiomic imaging features genomics identify distinct subtypes glioblastoma. METHODS A retrospect...
Several studies have indicated that magnetic resonance imaging radiomics can predict survival in patients with breast cancer, but the potential biological underpinning remains indistinct. This study aims to develop an interpretable deep-learning-based network for classifying recurrence risk and revealing underpinning. In this multicenter study, 1,113 nonmetastatic invasive cancer were included,...
Radiomic models have been shown to outperform clinical data for outcome prediction in glioblastoma (GBM). However, implementation is limited by lack of parameters standardization. We aimed compare nine machine learning classifiers, with different optimization parameters, predict overall survival (OS), isocitrate dehydrogenase (IDH) mutation, O-6-methylguanine-DNA-methyltransferase (MGMT) promot...
Structural brain magnetic resonance imaging (MRI) traits share part of their genetic variance with cognitive traits. Here, we use genetic association results from large meta-analytic studies of genome-wide association (GWA) for brain infarcts (BI), white matter hyperintensities, intracranial, hippocampal, and total brain volumes to estimate polygenic scores for these traits in three Scottish sa...
Computer aided diagnosis systems for detecting malignant texture in biological study have been investigated using several techniques. This paper presents an approach in computer-aided diagnosis for early prediction of brain cancer using Texture features and neuro classification logic. The Tumor mass detection and Cluster micro classification is used as the processing method for cancer predictio...
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