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Nov 6, 2024
Tomar, Dhananjay, 2024, "Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology", https://doi.org/10.18710/NXPLFL, DataverseNO, V1
This dataset is a processed version of the CAMELYON17 dataset used in the NeurIPS 2024 paper "Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology". It consists of patches / tiles from 50 Whole Slide Im... |
Plain Text - 5.6 KB -
MD5: 566f57729ce97e88c3020c473865769d
README file |
Comma Separated Values - 29.1 MB -
MD5: b144dd3e8fac32f26d9e585958c7b25d
Metadata info for the files inside the tar file. Metadata has columns patient,node,x_coord,y_coord,tumor,slide,center,split
Each row starts with index of the row followed by data for the columns listed above. Column "tumor" refers to whether the patch/tile has tumor or not. "spli... |
TAR Archive - 1.2 GB -
SHA1: 3c79321a29a22c93641e7d0d2ca9ace9b9d7f76c
Patches for the WSI patient_004_node_4 |
TAR Archive - 44.1 MB -
SHA1: 048015ca42ffbfd0c2f1a10db27d109c467500e2
Nuclear segmentation masks for patches from WSI patient_004_node_4 |
TAR Archive - 41.6 MB -
SHA1: 36c27d388d2cabb24d3e63c64b4028b17681e995
Nuclear segmentation masks for patches from WSI patient_009_node_1 |
TAR Archive - 1.3 GB -
SHA1: 2724ec5dca0a3025d0fa8f2aac08bef287ee5dc3
Patches for the WSI patient_009_node_1 |
TAR Archive - 980.9 MB -
SHA1: 2c4a0c0e71fb2739cd788ff22f594daec0cc140e
Patches for the WSI patient_010_node_4 |
TAR Archive - 27.1 MB -
SHA1: 646f8334e0ba11f7d6b3c1cbcf2589102c1546a3
Nuclear segmentation masks for patches from WSI patient_010_node_4 |
TAR Archive - 3.5 GB -
SHA1: 838791ab2d78266b2a29a406bec2f3bf37b98b9f
Patches for the WSI patient_012_node_0 |