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{% extends "base.html" %} | |
{% block content %} | |
<div class="hero-section text-center slide-up"> | |
<h1 class="display-4 mb-4">Welcome to MedImage Translator</h1> | |
<p class="lead mb-5">AI-powered GAN model to convert MRI to CT and vice versa</p> | |
<a href="/try_now" class="btn btn-primary btn-lg"> | |
<i class="fas fa-rocket me-2"></i> | |
Try Now | |
</a> | |
</div> | |
<div class="row mt-5 g-4"> | |
<div class="col-md-4"> | |
<div class="card h-100 fade-in"> | |
<div class="card-body text-center"> | |
<i class="fas fa-brain fa-3x mb-3" style="color: var(--primary-color)"></i> | |
<h3 class="card-title">Advanced AI</h3> | |
<p class="card-text">State-of-the-art GAN architecture for accurate medical image translation</p> | |
</div> | |
</div> | |
</div> | |
<div class="col-md-4"> | |
<div class="card h-100 fade-in" style="animation-delay: 0.2s"> | |
<div class="card-body text-center"> | |
<i class="fas fa-bolt fa-3x mb-3" style="color: var(--primary-color)"></i> | |
<h3 class="card-title">Real-time Processing</h3> | |
<p class="card-text">Fast and efficient image translation with immediate results</p> | |
</div> | |
</div> | |
</div> | |
<div class="col-md-4"> | |
<div class="card h-100 fade-in" style="animation-delay: 0.4s"> | |
<div class="card-body text-center"> | |
<i class="fas fa-shield-alt fa-3x mb-3" style="color: var(--primary-color)"></i> | |
<h3 class="card-title">Secure Processing</h3> | |
<p class="card-text">Your medical images are processed securely and never stored</p> | |
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</div> | |
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< | |
<div class="hero-section text-center slide-up"> | |
<h2 class="display-4 mb-4">About</h2> | |
<p class="lead mb-5">MRI and CT are most widely used medical imaging modalities. It is often necessary to acquire multi-modality images for diagnosis and treatment such as radiotherapy planning. However, multi-modality imaging is not only costly but also introduces misalignment between MRI and CT images. To address this challenge, computational conversion is a viable approach between MRI and CT images, especially from MRI to CT images. We propose to use an emerging deep learning framework called diffusion and score-matching models in this context. .</p> | |
</div> | |
{% endblock %} |