Breast Cancer Cell Segmentation
Elisa Drelie Gelasca and Jiyun Byun and Boguslaw Obara and B.S. Manjunath



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BreastCancerCell_dataset (174 files)
ytma10_010704_benign1.TIF689.06kB
ytma10_010704_benign1.TIF.xml0.37kB
ytma10_010704_benign1_ccd.tif2.08MB
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ytma23_022103_benign1.TIF689.06kB
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ytma23_022103_benign3.TIF689.06kB
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ytma23_022103_benign3_ccd.tif2.02MB
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ytma23_022103_malignant2.TIF689.06kB
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ytma23_022103_malignant3.TIF689.06kB
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ytma49_042003_benign1.TIF689.06kB
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ytma49_042003_benign2.TIF689.06kB
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ytma49_042003_malignant1.TIF689.06kB
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ytma49_042003_malignant1_ccd.tif2.05MB
ytma49_042003_malignant2.TIF689.06kB
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ytma49_042003_malignant2_ccd.tif2.07MB
ytma49_042003_malignant3.TIF689.06kB
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ytma49_042003_malignant3_ccd.tif2.07MB
ytma49_042203_benign1.TIF689.06kB
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ytma49_042203_benign1_ccd.tif2.03MB
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ytma49_042203_benign2_ccd.tif2.08MB
ytma49_042203_benign3.TIF689.06kB
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ytma49_042203_benign3_ccd.tif2.08MB
ytma49_042203_malignant1.TIF689.06kB
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ytma49_042203_malignant1_ccd.tif2.08MB
ytma49_042203_malignant2.TIF689.06kB
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ytma49_042203_malignant2_ccd.tif2.08MB
ytma49_042203_malignant3.TIF689.06kB
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ytma49_042203_malignant3_ccd.tif2.08MB
ytma49_042403_benign1.TIF689.06kB
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ytma49_042403_benign1_ccd.tif2.08MB
ytma49_042403_benign2.TIF689.06kB
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ytma49_042403_benign2_ccd.tif2.07MB
ytma49_042403_benign3.TIF689.06kB
ytma49_042403_benign3.TIF.xml0.37kB
ytma49_042403_benign3_ccd.tif2.08MB
ytma49_042403_malignant1.TIF689.06kB
ytma49_042403_malignant1.TIF.xml0.38kB
ytma49_042403_malignant1_ccd.tif2.06MB
ytma49_042403_malignant2.TIF689.06kB
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ytma49_042403_malignant2_ccd.tif2.08MB
ytma49_042403_malignant3.TIF689.06kB
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ytma49_042403_malignant3_ccd.tif2.08MB
ytma49_072303_benign1.TIF689.06kB
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ytma49_072303_benign2_ccd.tif2.08MB
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ytma49_072303_malignant1_ccd.tif2.08MB
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ytma49_111003_benign1_ccd.tif1.97MB
ytma49_111003_benign2.TIF689.06kB
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ytma49_111003_benign2_ccd.tif2.08MB
ytma49_111003_benign3.TIF689.06kB
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ytma49_111003_benign3_ccd.tif2.08MB
ytma49_111003_malignant1.TIF689.06kB
ytma49_111003_malignant1.TIF.xml0.38kB
ytma49_111003_malignant1_ccd.tif2.04MB
ytma49_111003_malignant2.TIF689.06kB
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ytma49_111003_malignant2_ccd.tif2.08MB
ytma49_111003_malignant3.TIF689.06kB
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ytma49_111003_malignant3_ccd.tif2.08MB
ytma49_111303_benign1.TIF689.06kB
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ytma49_111303_benign1_ccd.tif2.03MB
ytma49_111303_benign2.TIF689.06kB
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ytma49_111303_benign2_ccd.tif2.06MB
ytma49_111303_benign3.TIF689.06kB
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ytma49_111303_benign3_ccd.tif2.04MB
ytma49_111303_malignant1.TIF689.06kB
ytma49_111303_malignant1.TIF.xml0.38kB
ytma49_111303_malignant1_ccd.tif2.05MB
ytma49_111303_malignant2.TIF689.06kB
ytma49_111303_malignant2.TIF.xml0.38kB
ytma49_111303_malignant2_ccd.tif2.08MB
ytma49_111303_malignant3.TIF689.06kB
ytma49_111303_malignant3.TIF.xml0.38kB
ytma49_111303_malignant3_ccd.tif2.07MB
ytma55_030603_benign1.TIF689.06kB
ytma55_030603_benign1.TIF.xml0.37kB
ytma55_030603_benign1_ccd.tif2.07MB
ytma55_030603_benign2.TIF689.06kB
ytma55_030603_benign2.TIF.xml0.37kB
ytma55_030603_benign2_ccd.tif2.07MB
ytma55_030603_benign3.TIF689.06kB
ytma55_030603_benign3.TIF.xml0.37kB
ytma55_030603_benign3_ccd.tif2.03MB
ytma55_030603_benign4.TIF689.06kB
ytma55_030603_benign4.TIF.xml0.37kB
ytma55_030603_benign4_ccd.tif2.08MB
ytma55_030603_benign5.TIF689.06kB
ytma55_030603_benign5.TIF.xml0.37kB
ytma55_030603_benign5_ccd.tif2.07MB
ytma55_030603_benign6.TIF689.06kB
ytma55_030603_benign6.TIF.xml0.37kB
ytma55_030603_benign6_ccd.tif2.08MB
Type: Dataset
Tags:

Bibtex:
@article{,
title= {Breast Cancer Cell Segmentation},
keywords= {},
author= {Elisa Drelie Gelasca and Jiyun Byun and Boguslaw Obara and B.S. Manjunath},
abstract= {There are about 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. The ground truth have been obtained for one image containing benign cells.


| Image: |Ground Truth: |
|---|---|
| ![](https://i.imgur.com/haa5X8O.png) | ![](https://i.imgur.com/gqBikTa.png) |






All images:

![](https://i.imgur.com/QM22bG2.png)},
terms= {},
license= {},
superseded= {},
url= {http://bioimage.ucsb.edu/research/bio-segmentation}
}