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<!doctype html>
<html class="no-js" lang="en">
<head>
<title>Radiomics</title>
<meta name="description" content="Radiomics - quantitative radiographic phenotyping">
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<h1 class="white-text font-weight-100 letter-spacing-2"> Quantitative Radiographic Phenotyping</h1>
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<p class="text-large margin-five">RADIOMICS REFERS TO THE AUTOMATED <br> QUANTIFICATION OF THE RADIOGRAPHIC PHENOTYPE</p>
<p>Radiomic data has the potential to uncover disease characteristics that fail to be appreciated by the naked eye. The central hypothesis of radiomics is that distinctive imaging algorithms quantify the state of diseases, and thereby provide valuable information for personalized medicine. Radiomics has emerged from oncology, but can be applied to other medical problems where a disease is imaged.
<br><br>
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<span class="title-large text-uppercase font-weight-700 black-text letter-spacing-1">RADIOMIC Technologies</span>
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<span class="text-uppercase font-weight-600 letter-spacing-1 black-text margin-ten display-block no-margin-bottom xs-margin-top-five">Engineered Features</span>
<p class="width-90 center-col margin-three no-margin-bottom display-block">Engineered features are hard-coded
features which are often based on expert domain knowledge. Measures include intensity, shape, texture, wavelet, and LOG features, and have been found useful in several clinical areas, such as oncology and cardiology.</p>
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<span class="text-uppercase font-weight-600 letter-spacing-1 black-text margin-ten display-block no-margin-bottom xs-margin-top-five">deep learning</span>
<p class="width-90 center-col margin-three no-margin-bottom display-block">Deep learning methods can learn feature representations automatically from data. These features are included in neural nets’ hidden layers. Within radiomics, deep learning involves utilizing convolutional neural nets - or convnets - for building predictive or prognostic non-invasive biomarkers. </p>
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<span class="title-small text-uppercase font-weight-700 white-text letter-spacing-1 margin-seven display-block">Clinical Significance
</span>
<p class="margin-ten no-margin-top width-90 xs-center-col xs-display-block white-text">
Scientific studies have assessed the clinical relevance of radiomic features in multiple independent cohorts consisting of lung and head-and-neck cancer patients.
</p>
<a href="science.html" target="_blank" class="highlight-link text-uppercase black-text">Read More <i class="fa fa-long-arrow-right extra-small-icon black-text" ></i></a>
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<span class="title-small text-uppercase font-weight-700 white-text letter-spacing-1 margin-seven display-block">Predictive Power</span>
<p class="margin-ten no-margin-top width-90 xs-center-col xs-display-block white-text">
Combined with appropriate feature selection and classification methods, radiomic features were examined in terms of their performance and stability for predicting prognosis. </p>
<a href="science.html" target="_blank" class="highlight-link text-uppercase black-text">Read More <i class="fa fa-long-arrow-right extra-small-icon black-text" ></i></a>
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<span class="title-small text-uppercase font-weight-700 white-text letter-spacing-1 margin-seven display-block">Open-source
</span>
<p class="margin-ten no-margin-top width-90 xs-center-col xs-display-block white-text">Multiple open-source platforms have been developed for the extraction of Radiomics features from 2D and 3D images and binary masks and are under continuous development.</p>
<a href="code.html" target="_blank" class="highlight-link text-uppercase black-text">Read More <i class="fa fa-long-arrow-right extra-small-icon black-text" ></i></a>
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<h3 class="title-large text-uppercase font-weight-700 letter-spacing-1 black-text">Why Radiomics?</h3>
<p class="text-med black-text margin-five">Radiomics studies continue to improve prognosis and theraputic response prediction paving the way for imaging-based precision medicine.</p>
<a class="highlight-link text-uppercase black-text pubmed" target="_blank"
href="https://www.ncbi.nlm.nih.gov/pubmed/?term=radiomics+OR+radiomic">Radiomics on pubmed<i class="fa fa-long-arrow-right extra-small-icon black-text"></i></a>
<br>
<a class="highlight-link text-uppercase black-text pubmed" target="_blank"
href="https://scholar.google.com/scholar?hl=en&q=radiomics+OR+radiomic&btnG=&as_sdt=1%2C22&as_sdtp=">Radiomics on google scholar<i class="fa fa-long-arrow-right extra-small-icon black-text"></i></a>
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<i class="icon-document medium-icon black-text display-block nice-text"></i>
<h1 class="font-weight-600 black-text margin-five no-margin-bottom">150+</h1>
<p class="text-uppercase black-text letter-spacing-2 text-small margin-three">pubmed papers</p>
</div>
<div class="col-md-3 col-sm-6 text-center margin-three">
<i class="icon-document medium-icon black-text display-block nice-text"></i>
<h1 class="font-weight-600 black-text margin-five no-margin-bottom">1800+</h1>
<p class="text-uppercase black-text letter-spacing-2 text-small margin-three">google scholar papers</p>
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<span class="title-large text-uppercase font-weight-700 black-text letter-spacing-1">radiomics.io</span>
<p class="text-med black-text margin-three">Radiomics.io is a platform for everything radiomics.</p>
</div>
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<object data="img/icon-5.svg" style="height:40px" type="image/svg+xml"></object>
<p class="width-90 center-col margin-three no-margin-bottom display-block">
Establish a reference radiomic standard.</p>
</div>
<!-- end features item -->
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Develop and maintain open-source projects.</p>
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Provide a practical go-to resource for radiomic applications.</p>
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<object data="img/icon-2.svg" style="height:40px" type="image/svg+xml"></object>
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Support radiomic outreach within the science community.</p>
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