license: afl-3.0
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
splits:
- name: train
num_bytes: 159754752
num_examples: 58
download_size: 115814048
dataset_size: 159754752
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
About Dataset
In this dataset, there are 58 H&E stained histopathology images used in breast cancer cell detection with associated ground truth data available. Routine histology uses the stain combination of hematoxylin and eosin, commonly referred to as H&E. These images are stained since most cells are essentially transparent, with little or no intrinsic pigment. Certain special stains, which bind selectively to particular components, are be used to identify biological structures such as cells. In those images, the challenging problem is cell segmentation for subsequent classification in benign and malignant cells.
Original Article
E. Drelie Gelasca, J. Byun, B. Obara and B. S. Manjunath, "Evaluation and benchmark for biological image segmentation," 2008 15th IEEE International Conference on Image Processing, San Diego, CA, 2008, pp. 1816-1819.