Dataset Open Access
B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling
{ "DOI": "10.1007/978-3-030-00934-2_24", "author": [ { "family": "B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling" } ], "issued": { "date-parts": [ [ 2018, 9, 26 ] ] }, "abstract": "<p>The PatchCamelyon benchmark is a new and challenging image classification dataset. It consists of 327.680 color images (96 x 96px) extracted from histopathologic scans of lymph node sections. Each image is annoted with a binary label indicating presence of metastatic tissue. PCam provides a new benchmark for machine learning models: bigger than CIFAR10, smaller than imagenet, trainable on a single GPU.</p>", "title": "Rotation Equivariant CNNs for Digital Pathology", "type": "dataset", "id": "2546921" }
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