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SupportTools.csv
Nov 12, 2024 - Data Package for "Social Sustainability Approaches for Software Development: A Systematic Literature Review"
Comma Separated Values - 921 B - MD5: c3f860c7ee73b7f55154cfd050b87851
Support Tools selected from the primary studies
Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology
Nov 6, 2024 - University of Oslo
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 Images (WSIs) (10 WSIs from each of the 5 hospitals) in the CAMELYON17 d...
00_README.txt
Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology
Plain Text - 5.6 KB - MD5: 566f57729ce97e88c3020c473865769d
README file
metadata.csv
Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology
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. "split" is "0" for trainnig and "1" for validation dataset split. "center"...
patient_004_node_4.tar
Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology
TAR Archive - 1.2 GB - SHA1: 3c79321a29a22c93641e7d0d2ca9ace9b9d7f76c
Data
Patches for the WSI patient_004_node_4
patient_004_node_4.tar
Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology
TAR Archive - 44.1 MB - SHA1: 048015ca42ffbfd0c2f1a10db27d109c467500e2
Data
Nuclear segmentation masks for patches from WSI patient_004_node_4
patient_009_node_1.tar
Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology
TAR Archive - 1.3 GB - SHA1: 2724ec5dca0a3025d0fa8f2aac08bef287ee5dc3
Data
Patches for the WSI patient_009_node_1
patient_009_node_1.tar
Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology
TAR Archive - 41.6 MB - SHA1: 36c27d388d2cabb24d3e63c64b4028b17681e995
Data
Nuclear segmentation masks for patches from WSI patient_009_node_1
patient_010_node_4.tar
Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology
TAR Archive - 980.9 MB - SHA1: 2c4a0c0e71fb2739cd788ff22f594daec0cc140e
Data
Patches for the WSI patient_010_node_4
patient_010_node_4.tar
Nov 6, 2024 - Replication Data for: Are nuclear masks all you need for improved out-of-domain generalization? A closer look at cancer classification in histopathology
TAR Archive - 27.1 MB - SHA1: 646f8334e0ba11f7d6b3c1cbcf2589102c1546a3
Data
Nuclear segmentation masks for patches from WSI patient_010_node_4
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