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<title>ICH Detection Pipeline — AI-Powered CT Brain Scan Analysis</title>
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content="Clinical-grade intracranial hemorrhage detection using deep learning. Upload DICOM CT scans and get instant AI-powered screening with Grad-CAM heatmaps and triage reports." />
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<span class="brand-name">ICH <span>Pipeline</span></span>
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<a href="{{ url_for('auth.login') }}" class="btn-ghost">Sign In</a>
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Get Started
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<section class="hero">
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AI-Powered Medical Screening
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<h1>
Detect Brain Hemorrhage<br>
<span class="grad">In Seconds, Not Hours</span>
</h1>
<p class="hero-sub">
Upload a DICOM CT brain scan and get an AI-powered hemorrhage probability score,
Grad-CAM heatmap visualization, and automated clinical triage report — instantly.
</p>
<div class="hero-ctas">
<a href="{{ url_for('auth.register') }}" class="btn-hero btn-hero-primary">
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Start Screening Free
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EfficientNet-B4 Model
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Grad-CAM Heatmaps
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Calibrated Confidence Scores
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Automated Triage
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</section>
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<div class="stat-item">
<div class="stat-num">~90%</div>
<div class="stat-desc">Sensitivity on ICH-positive slices</div>
</div>
<div class="stat-item">
<div class="stat-num">< 30s</div>
<div class="stat-desc">Time to first result per scan</div>
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<div class="stat-item">
<div class="stat-num">DICOM</div>
<div class="stat-desc">Native .dcm & .zip batch support</div>
</div>
</div>
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<!-- ── Features ──────────────────────────────────────────────── -->
<section class="features">
<div class="section-label">Core Capabilities</div>
<h2 class="section-title">Everything a radiologist needs — fast</h2>
<p class="section-sub">From raw DICOM upload to clinical-grade report in under a minute.</p>
<div class="features-grid">
<div class="feat-card">
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<h3>Batch DICOM Processing</h3>
<p>Upload a .dcm file or a .zip archive of hundreds of slices. The pipeline handles CT windowing, preprocessing,
and inference on every slice automatically.</p>
</div>
<div class="feat-card">
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<h3>Calibrated AI Confidence</h3>
<p>Our EfficientNet-B4 model outputs probability scores calibrated with temperature scaling, so a 90% score
actually means 90%.</p>
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style="background:rgba(251,113,133,0.1);border-color:rgba(251,113,133,0.2);color:#fb7185;">
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<h3>Grad-CAM Heatmaps</h3>
<p>Gradient-weighted class activation maps overlay on every scan, highlighting the exact regions that drove the
model's hemorrhage prediction.</p>
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style="background:rgba(129,140,248,0.1);border-color:rgba(129,140,248,0.2);color:#818cf8;">
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<h3>LLM Clinical Summary</h3>
<p>Each scan triggers a Groq-powered LLM that generates a human-readable clinical narrative with triage action
and urgency classification.</p>
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<h3>Model Evaluation Metrics</h3>
<p>Built-in evaluation dashboard with ROC curves, calibration plots, and confidence band analysis to track model
performance over time.</p>
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<h3>Secure & Isolated</h3>
<p>Every user gets their own isolated data directory. All uploads are user-scoped and access-controlled with
rate limiting and audit logs.</p>
</div>
</div>
</section>
<!-- ── How it works ───────────────────────────────────────────── -->
<section class="how">
<div class="section-label">Workflow</div>
<h2 class="section-title">Four steps to a clinical report</h2>
<p class="section-sub" style="margin-bottom:48px;">The entire pipeline runs in the background — you just upload and
wait.</p>
<div class="steps">
<div class="step">
<div class="step-num">1</div>
<h4>Upload DICOM</h4>
<p>Upload a .dcm slice or a .zip batch. Single exams or full series are both supported.</p>
</div>
<div class="step">
<div class="step-num">2</div>
<h4>AI Inference</h4>
<p>EfficientNet-B4 scores each slice for ICH probability with calibrated confidence.</p>
</div>
<div class="step">
<div class="step-num">3</div>
<h4>Grad-CAM</h4>
<p>Gradient-weighted heatmaps highlight regions driving the hemorrhage prediction.</p>
</div>
<div class="step">
<div class="step-num">4</div>
<h4>Clinical Report</h4>
<p>Auto-generated PDF report with findings, confidence bands, and triage action.</p>
</div>
</div>
</section>
<!-- ── CTA ───────────────────────────────────────────────────── -->
<section class="cta-section">
<h2>Ready to try it?</h2>
<p>Create a free account and upload your first scan in under a minute.</p>
<div class="disclaimer">
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<span>
<strong>Medical Disclaimer:</strong> This is an AI-assisted screening tool and does <strong>not</strong>
constitute a medical diagnosis. All findings must be reviewed by a qualified medical professional
before any clinical action is taken.
</span>
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<p>ICH Detection Pipeline — AI screening tool, not a diagnostic device.</p>
<p style="margin-top:6px;font-size:0.78rem;opacity:0.6;">All findings must be reviewed by a qualified medical
professional.</p>
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