نتایج جستجو برای: radiomics
تعداد نتایج: 1808 فیلتر نتایج به سال:
Cancers arising from the oropharynx have become increasingly more studied in the past few years, as they are now epidemic domestically. These tumors are treated with definitive (chemo)radiotherapy, and have local recurrence as a primary mode of clinical failure. Recent data suggest that 'radiomics', or extraction of image texture analysis to generate mineable quantitative data from medical imag...
In this era of precision oncology, there has been an exponential growth in the armamentarium of genomically targeted therapies and immunotherapies. Evaluating early responses to precision therapy is essential for "go" versus "no go" decisions for these molecularly targeted drugs and agents that arm the immune system. Many different response assessment criteria exist for use in solid tumors and ...
Recent advances in medical image analysis have been made to improve our understanding of how disease develops, behaves, and responds treatment. Magnetic resonance imaging (MRI) positron emission tomography (PET) advanced strategies provide structural functional phenotypic biomarkers that correlate with key processes. Through radiomics radiogenomics, ML-medical has opened up new perspectives hig...
on behalf of the image biomarker standardisation initiative The image biomarker standardisation initiative (IBSI) is an independent international collaboration which works towards standardisation of image biomarkers. Reproducibility and validation of studies in quantitative image analysis/ radiomics is a major challenge for the field (Gillies et al., 2015; Hatt et al., 2016; Yip and Aerts, 2016...
Radiomics can quantify the properties of regions interest in medical image data. Classically, they account for pre-defined statistics shape, texture, and other low-level features. Alternatively, deep learning-based representations are derived from supervised learning but require expensive annotations often suffer overfitting data imbalance issues. In this work, we address challenge representati...
Background In recent years, radiomics has been increasingly utilized for the differential diagnosis of Parkinson’s disease (PD). However, application in PD still lacks sufficient evidence-based support. To address this gap, we carried out a systematic review and meta-analysis to evaluate diagnostic value radiomics-based machine learning (ML) PD. Methods We systematically searched Embase, Cochra...
Delineating the grey areas in radiodiagnosis-Radiomics a new way forward Radiomics- A virtual biopsy
Omics are the branches of science which constitute various affiliates biology. It determines structure, function and dynamics organisms through collective characterization quantification biological molecules. The diagnostic imaging modalities have peaked in their advancements, leading to escalated complexity volume database. This has ushered foundation a novel approach diagnosis called radiomic...
Radiomics as a novel quantitative approach to medical imaging is an emerging area in the field of radiology. Artificial Intelligence offers promising tools for exploiting and analyzing radiomics. The objective present study propose methodology design, development, evaluation Machine Learning (ML) models prediction recovery progress skeletal muscle injury over time rats using were extracted from...
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