TNBC

Dataset Information
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Overview

Inolves an annotated a large number of cells, including normal epithelial and myoepithelial breast cells (localized in ducts and lobules), invasive carcinomatous cells, fibroblasts, endothelial cells, adipocytes, macrophages and inflammatory cells (lymphocytes and plasmocytes). In total, our data set consists of 50 images with a total of 4022 annotated cells, the maximum number of cells in one sample is 293 and the minimum number of cells in one sample is 5, with an average of 80 cells per sample and a high standard deviation of 58. The annotation was performed by three experts: an expert pathologist and two trained research fellows. Each sample was annotated by one of the annotators, checked by another one and in case of disagreement, a consensus was established by discussion among the 3 experts.

Source: https://zenodo.org/record/1175282#.YMisCTZKgow

Image source: https://zenodo.org/record/1175282#.YMisCTZKgow

Variants: TNBC

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Medical Image Segmentation ReN-UNet Rethinking the Nested U-Net Approach: … 2025-04-08

Research Papers

Recent papers with results on this dataset: