Dataset · Hugging Face

1aurent/BACH

Name: BACH
Creator: 1aurent
License: cc-by-nc-nd-4.0
Keywords: task_categories:image-classification, license:cc-by-nc-nd-4.0, size_categories:n<1K, format:parquet, modality:image, library:datasets, library:dask, library:mlcroissant, library:polars, region:us, biology, Histopathology, Histology, Digital Pathology, Breast Cancer

BreAst Cancer Histology (BACH) Dataset: Grand Challenge on Breast Cancer Histology images Description 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… See the full description on the dataset page: https://huggingface.co/datasets/1aurent/BACH.

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Author / organization	1aurent
License (as declared)	cc-by-nc-nd-4.0
Downloads	5.4K (as reported by Hugging Face)
Likes	1
Created	15 October 2023
Last updated at source	25 May 2024

biologyHistopathologyHistologyDigital PathologyBreast Cancer

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1aurent/vit_small_patch8_224.lunit_dinoModel · used to train
1aurent/vit_small_patch16_224.lunit_dinoModel · used to train

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16 Oct 2026 Description: BreAst Cancer Histology (BACH) Dataset: Grand Challenge on Breast Cancer Histology images Description The dataset is composed of Hematoxylin and eosin (H&E) stained breast histology microscopy images. Microscopy images are labelled as norma → BreAst Cancer Histology (BACH) Dataset: Grand Challenge on Breast Cancer Histology images Description The dataset is composed of Hematoxylin and eosin (H&E) stained breast histology microscopy images. Microscopy images are labelled as norma

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