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    Models/Image Classification/ianpan/ct-head-hemorrhage-detection

    ct-head-hemorrhage-detection

    by ianpan

    Identifier
    Model ID
    ianpan/ct-head-hemorrhage-detection

    Tags

    pytorchsafetensorsct_head_hemorrhage_detectionmedicalradiologyctintracranial-hemorrhageimage-classificationimage-segmentationtimmdataset:rsna-intracranial-hemorrhage-detectionlicense:mitregion:us

    Use ct-head-hemorrhage-detection on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, ct-head-hemorrhage-detection runs as a managed extractor inside a processing pipeline. Point a bucket of image classification data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.