harit-pc
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<!DOCTYPE html>
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<html>
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</div>
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<li>Task: Segmentation</li>
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<li>Modality: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Endoscopy, Ultrasound, Pathology, Fundus, Dermoscopy, Mammography, and Optical Coherence Tomography (OCT).</li>
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</ul>
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</div>
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</section>
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<h3 class="overview-heading"><span class="vl">Demo</span></h3>
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<p class="overview-content">Please select the example below or upload 2 pairs of mammography exam result.</p>
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</body>
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</html>
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<!DOCTYPE html>
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<html>
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<head>
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<link rel="stylesheet" href="file/style.css" />
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<link rel="preconnect" href="https://fonts.googleapis.com" />
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
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<link href="https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@400;600;700&display=swap"
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rel="stylesheet" />
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<title>Bilateral View Hypercomplex Breast Classification</title>
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</head>
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<body>
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<div class="container">
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<h1 class="title">MedSAM: Segment Anything in Medical Images</h1>
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<h2 class="subtitle">Kalbe Digital Lab</h2>
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<section class="overview">
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<div class="grid-container">
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<h3 class="overview-heading"><span class="vl">Overview</span></h3>
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<p class="overview-content">
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MedSAM, a foundation model for universal medical image segmentation. MedSAM is adapted from the SAM
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model on an unprecedented scale, with more than one million medical image-mask pairs.
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<br />
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Reference: <a href="https://arxiv.org/abs/2304.12306"
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target="_blank">https://arxiv.org/abs/2204.05798</a>
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</p>
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</div>
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<div class="grid-container">
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<h3 class="overview-heading"><span class="vl">Dataset</span></h3>
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<div>
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<p class="overview-content">The model is trained using a diverse and large-scale medical image
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segmentation dataset with 1,090,486 medical image-mask pairs, covering 15 imaging modalities,
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over 30 cancer types, and a multitude of imaging protocols.</p>
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<ul>
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<li>Target: Capturing a broad spectrum of anatomies and lesions across different modalities.
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</li>
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<li>Task: Segmentation</li>
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<li>Modality: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Endoscopy, Ultrasound,
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Pathology, Fundus, Dermoscopy, Mammography, and Optical Coherence Tomography (OCT).</li>
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</ul>
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</div>
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</div>
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<!-- <div class="grid-container">
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<h3 class="overview-heading"><span class="vl">Model Architecture</span></h3>
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<div>
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<p class="overview-content">Segment Anything (MedSAM).</p>
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<img class="content-image" src="./figures/medsam.png" alt="model-architecture" />
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</div>
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</div>
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</section>
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</div>
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</body>
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</html>
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