Invasive Ductal Carcinoma (IDC) Histology Image Dataset

@article{,
title= {Invasive Ductal Carcinoma (IDC) Histology Image Dataset},
keywords= {},
author= {},
abstract= {Invasive Ductal Carcinoma (IDC) is the most common subtype of all breast cancers. To assign an aggressiveness grade to a whole mount sample, pathologists typically focus on the regions which contain the IDC. As a result, one of the common pre-processing steps for automatic aggressiveness grading is to delineate the exact regions of IDC inside of a whole mount slide.

Dataset Description
The original dataset consisted of 162 whole mount slide images of Breast Cancer (BCa) specimens scanned at 40x. From that, 277,524 patches of size 50  x 50 were extracted (198,738 IDC negative and 78,786 IDC positive).

Each patch’s file name is of the format:

```
u_xX_yY_classC.png   — > example 10253_idx5_x1351_y1101_class0.png
```

Where u is the patient ID (10253_idx5), X is the x-coordinate of where this patch was cropped from, Y is the y-coordinate of where this patch was cropped from, and C indicates the class where 0 is non-IDC and 1 is IDC.

https://i.imgur.com/sDQrEp2.png


},
terms= {},
license= {},
superseded= {},
url= {http://www.andrewjanowczyk.com/use-case-6-invasive-ductal-carcinoma-idc-segmentation/}
}