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iMerit, a leader in software-delivered AI data, in collaboration with Segmed and Advocate Health, is excited to announce the release of a new Breast Cancer Imaging Dataset designed for AI training, validation, and clinical deployment, meticulously reviewed and vetted by U.S. board-certified radiologists, ensuring the highest standards of accuracy and clinical relevance. This dataset was developed to support the next generation of medical imaging AI models, with a strong focus on annotation quality, multi-reader validation, and regulatory readiness. What makes this breast cancer dataset different? Clinically informed annotation protocols Multi-reader consensus workflows and adjudication High-fidelity labels for detection, segmentation, and classification Structured metadata to support robust model evaluation Designed for regulatory-aligned AI development This dataset is ideal for: Medical imaging AI startups Healthcare AI research teams Digital health platforms MedTech and diagnostics companies Radiology AI developers building regulatory-ready solutions Download the dataset at: https://imerit.net/3d-mammogram-dataset/ #iMerit #Segmed #Mammogramdataset