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<meta name="title" property="og:title" content="Image Processing">
<meta name="type" property="og:type" content="website">
<meta name="image" property="og:image" content="https://www.nlm.nih.gov/images/NLMgeneric.jpg">
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<title>NLM Intramural Research - Image Processing</title>
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<meta name="DC.Title" content="NLM Intramural Research - Image Processing" />
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<meta name="DC.Date.Issued" content="2019-12-16" />
<meta name="DC.Date.Modified" content="2019-12-16" />
<meta name="NLMDC.Date.LastReviewed" content="2019-12-16" />
<meta name="NLM.Contact.Email" content="NLMCommunications@nlm.nih.gov" />
<meta name="DC.Type" content="Photos of Staff, Programs, Activities, Building and Grounds" />
<meta name="DC.Rights" content="Public Domain" />
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<h1 class="forstaffpages" style="opacity: 1;">Image Processing</h1>
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NLMs image processing focuses on data science research in biomedical image and signal processing, artificial intelligence, and machine learning to support automated clinical decision-making in disease screening and diagnostics. This area of research includes image and text analysis for clinical research, exploration of visual content relevant to disease in images and video, and visual information retrieval for embedding automated decision-support systems in diagnostic and treatment pathways.
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<div class="image-wrapper"><a href="/research/researchstaff/AntaniSameer.html"><img src="/research/img/AntaniSameer.jpg" alt="Image of Sameer Antani, PhD" /></a>
<h3><a href="/research/researchstaff/AntaniSameer.html">Sameer Antani, PhD</a></h3>
Tenure Track Investigator, Computational Health Research Branch</div>
<div class="detail-wrapper"> <h4>Sameer Antani, PhD</h4>
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<li>Investigating the use of biomedical image and signal processing for clinical support</li>
<li>Developing cervical cancer screening and diagnostics (in collaboration with the National Cancer Institute)</li>
<li>Developing HIV+ and drug-resistant tuberculosis screening from chest X-rays (in collaboration with the National Institute of Allergy and Infectious Diseases (NIAID)</li>
<li>Developing malaria screening from thin and thick smears (in collaboration with NIAID)</li>
<li>Exploring craniofacial dysmorphism/malocclusion detection (in collaboration with the National Institute of Dental and Craniofacial Research)</li>
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<div class="image-wrapper"><a href="/research/researchstaff/LuZhiyong.html"><img src="/research/img/LuZhiyong.jpg" alt="Image of Zhiyong Lu, PhD" /></a>
<h3><a href="/research/researchstaff/LuZhiyong.html">Zhiyong Lu, PhD</a></h3>
Senior Investigator, Computational Biology Branch</div>
<div class="detail-wrapper"> <h4>Zhiyong Lu, PhD</h4>
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<li>Exploring the use of medical text/image analysis for autonomous disease diagnosis and prognosis</li>
<li>Developing a novel, data-driven approach for automated age-related macular degeneration diagnosis and prognosis, called DeepSeeNet (in collaboration with the National Eye Institute)</li>
<li>Developing automatic annotation of chest X-rays from radiology reports, using the NIH ChestX-ray8 dataset (in collaboration with the NIH Clinical Center)</li>
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