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@@ -39,7 +39,7 @@ <h3>Code: <a href='https://github.com/cabooster/DeepCAD'>PyTorch</a> </h3>
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<br><br>
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</p>
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<img src="https://github.com/cabooster/DeepCAD-RT/blob/page/images/deepcad2.png?raw=true" width="460" align="left">
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<h3> <a href='https://www.biorxiv.org/content/10.1101/2022.03.14.484230v1'>Paper</a> | <a href='https://github.com/cabooster/DeepCAD-RT'>Code</a> </h3>
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<h3> <a href='https://www.nature.com/articles/s41587-022-01450-8'>Paper</a> | <a href='https://github.com/cabooster/DeepCAD-RT'>Code</a> </h3>
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<h3>Much faster processing speed and much lower memory cost:</h3>
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We constructed a lightweight network and compressed the model parameters by <b>94%</b>, which consequently reduced <b>85%</b> processing time and <b>70%</b> memory consumption.
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<br><h3>More stable performance:</h3>

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