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added gif demo files
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Theodore Zhao committed May 23, 2024
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Binary file added image_assets/gif_demo/CT-Abdomen_short_gif.gif
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Binary file added image_assets/gif_demo/CT-COVID_gif.gif
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Binary file added image_assets/gif_demo/CT-nodule_gif.gif
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Binary file added image_assets/gif_demo/MRI-Brain-T1Gd_gif.gif
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Binary file added image_assets/gif_demo/Pathology_all_cells_gif.gif
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Binary file added image_assets/gif_demo/Pathology_prompts_gif.gif
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6 changes: 3 additions & 3 deletions index.html
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Expand Up @@ -233,7 +233,7 @@ <h2 class="title is-2 publication-title" style="font-family: 'Google Lexend', sa
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<div class="text-section col-xs-12 col-sm-12 col-md-6 col-lg-6 col-xl-6" style="padding: 5%;">
<h1 style="font-size: 2em;">Everything</h1>
<p>BiomedParse performs <a href="#" style="color: #6366f1;"><strong>segmentation</strong></a> for organ, abnormality and cells, accurately following user's prompts. Without any image specific guidance like bounding box or points, BiomedParse outperforms state-of-the-art bounding box methods with text prompts only, across 9 biomedical imaging modalities.</p>
<p>BiomedParse performs <a href="#" style="color: #6366f1;"><strong>segmentation</strong></a> for organs, abnormalities and cells, accurately following user's prompts. Without any image specific guidance like bounding box or points, BiomedParse outperforms state-of-the-art bounding box methods with text prompts only, across 9 biomedical imaging modalities.</p>
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Expand Down Expand Up @@ -276,7 +276,7 @@ <h1 style="font-size: 2em;">Everything</h1>
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<div class="text-section col-xs-12 col-sm-12 col-md-6 col-lg-6 col-xl-6" style="padding: 5%;">
<h1 style="font-size: 2em;">Everywhere</h1>
<p>BiomedParse <a href="#" style="color: #6366f1;""><strong>detect</strong></a> the specific object of interest, and locate it at pixel-level precision, even for objects with irregular shapes. By effectively identifying text prompts describing objects that do not exist in the image, BiomedParse is capable of object detection in an end-to-end manner.</p>
<p>BiomedParse <a href="#" style="color: #6366f1;""><strong>detects</strong></a> the specific object of interest, and locate it at pixel-level precision, even for objects with irregular shapes. By effectively identifying text prompts describing object that does not exist in the image, BiomedParse is capable of object detection in an end-to-end manner.</p>
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<div class="video-section col-xs-12 col-sm-12 col-md-6 col-lg-6 col-xl-6">
<video id="videoPlayer2" width="100%" autoplay muted defaultMuted>
Expand All @@ -290,7 +290,7 @@ <h1 style="font-size: 2em;">Everywhere</h1>
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<div class="text-section col-xs-12 col-sm-12 col-md-6 col-lg-6 col-xl-6" style="padding: 5%;">
<h1 style="font-size: 2rem;">All at Once</h1>
<p>Tired of typing prompts for every objects? BiomedParse performs object <a href="#" style="color: #6366f1;""><strong>recognition</strong></a> all at once. BiomedParse learned 82 objects types and automatically identifies all objects in a given image along with their semantic types, and simultaneously segment and label all biomedical objects of interests.</p>
<p>Tired of typing prompts for every objects? BiomedParse can do object <a href="#" style="color: #6366f1;""><strong>recognition</strong></a> all at once. Having learned 82 object types, BiomedParse can automatically identify all objects in a given image along with their semantic types, and simultaneously segment and label all biomedical objects of interests.</p>
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<div class="video-section col-xs-12 col-sm-12 col-md-6 col-lg-6 col-xl-6">
<video id="videoPlayer3" width="100%" autoplay muted defaultMuted>
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