PCam (PatchCamelyon)
Introduced by Veeling et al. in Rotation Equivariant CNNs for Digital Pathology
PatchCamelyon is an image classification dataset. It consists of 327.680 color images (96 x 96px) extracted from histopathologic scans of lymph node sections. Each image is annotated 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.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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PCam
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DSF-CNN
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PCam
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Lossyless Compressor
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Papers
| Paper | Code | Results | Date | Stars |
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