1aurent/vit_small_patch16_224.lunit_dino
Image Classification
•
Updated
•
135
Error code: ClientConnectionError
image
image | label
class label |
---|---|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
|
0Benign
|
The dataset is composed of Hematoxylin and eosin (H&E) stained breast histology microscopy images.
Microscopy images are labelled as normal, benign, in situ carcinoma or invasive carcinoma according to the predominant cancer type in each image. The annotation was performed by two medical experts and images where there was disagreement were discarded. Images have the following specifications:
@dataset{polonia_2020_3632035,
author = {Polónia, António and Eloy, Catarina and Aguiar, Paulo},
title = {{BACH Dataset : Grand Challenge on Breast Cancer Histology images}},
month = jan,
year = 2020,
publisher = {Zenodo}
}