PCam

PatchCamelyon

Dataset Information
Modalities
Images, Medical
License
CC0
Homepage

Overview

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.

Variants: PCam

Associated Benchmarks

This dataset is used in 4 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Image Clustering TURTLE (CLIP + DINOv2) Let Go of Your Labels … 2024-06-11
Breast Tumour Classification Virchow Virchow: A Million-Slide Digital Pathology … 2023-09-14
Image Compression Lossyless Compressor Lossy Compression for Lossless Prediction 2021-06-21
Breast Tumour Classification DSF-CNN (C8) Dense Steerable Filter CNNs for … 2020-04-06
Breast Tumour Classification G-CNN (C12) Roto-Translation Equivariant Convolutional Networks: Application … 2020-02-20
Breast Tumour Classification G-CNN (C8) Roto-Translation Equivariant Convolutional Networks: Application … 2020-02-20
Breast Tumour Classification p4m-DenseNet (D4) Rotation Equivariant CNNs for Digital … 2018-06-08
Breast Tumour Classification Steerable G-CNN (C8) Learning Steerable Filters for Rotation … 2017-11-20
Breast Tumour Classification Steerable G-CNN (C12) Learning Steerable Filters for Rotation … 2017-11-20
Breast Tumour Classification Steerable G-CNN (e) Learning Steerable Filters for Rotation … 2017-11-20
Breast Tumour Classification Steerable G-CNN (C8) Learning Steerable Filters for Rotation … 2017-11-20
Breast Tumour Classification VF-CNN (C12) Rotation equivariant vector field networks 2016-12-29
Breast Tumour Classification VF-CNN (C8) Rotation equivariant vector field networks 2016-12-29
Breast Tumour Classification VF-CNN (C4) Rotation equivariant vector field networks 2016-12-29
Breast Tumour Classification DenseNet-121 (e) Densely Connected Convolutional Networks 2016-08-25
Breast Tumour Classification G-CNN (C4) Group Equivariant Convolutional Networks 2016-02-24
Breast Tumour Classification ResNet-50 (e) Deep Residual Learning for Image … 2015-12-10
Breast Tumour Classification ResNet-34 (e) Deep Residual Learning for Image … 2015-12-10

Research Papers

Recent papers with results on this dataset: