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CytoDiffusion is an AI model for blood cell image classification.
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It addresses challenges in automating leukocyte morphology classification.
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Utilizes a diffusion-based generative framework.
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Trained on a dataset of 32,619 images.
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Competes well with existing classifiers in terms of performance.
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Offers improved anomaly detection and uncertainty handling.
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More computationally intensive than traditional classifiers.
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Can aid in triage by flagging uncertain or abnormal cases.
Original Source(s)
Smarter Digital Morphology Triage
A diffusion-based approach aims to handle domain shifts, slide variability, and rare cell appearances
January 30, 2026
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3 min
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