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research.html
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<!doctype html>
<html>
<head>
<meta charset="utf-8">
<meta name="keywords" content="">
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<title>Research</title>
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<h3 class="mg-md text-center">
Pengfei Jia
</h3>
<h5 class="mg-md text-center">
Master
</h5>
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<a href="https://scholar.google.com.hk/citations?hl=zh-CN&user=TvAygXEAAAAJ" target="_blank"><span class="fa fa-google icon-md"></span></a>
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<div class="col-md-6 align-self-end">
<h3 class="mg-md h3-style">
Deep Learning for Diagnosing Developmental Dysplasia of the Hip
</h3>
<p class="p-bloc-2-style btn-resize-mode">
To resolve the temporal diversity and pathological deformity challenge in X-ray based diagnosis of DDH, convert the detection of a landmark to the detection/segmentation of the landmark’s local neighborhood patch. Spatial attention and Adversarial learning are also employed to deal with the false positive detection.
</p><a href="index.html" class="btn btn-d btn-lg" target="_blank">More Info</a>
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<div class="col-md-6 align-self-end">
<h3 class="mg-md h3-2-style d-lg-block d-none">
Deep Learning for Pediatric Bone Age Assessment
</h3>
<p class="p-45774-style btn-resize-mode">
Propose a novel weakly-supervised learning approach for Bone Age Assessment, which can discover and extract the discriminative bone parts without human prior. State-of-art performance has been achieved, and the proposed method exhibits interpretability, consistency and inspiration with human prior knowledge.
</p><a href="index.html" class="btn btn-d btn-lg " target="_blank">More Info</a>
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