Breast Histopathology Images

### Context

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.

### Content

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.

### Acknowledgements

The original files are located here: http://gleason.case.edu/webdata/jpi-dl-tutorial/IDC_regular_ps50_idx5.zip
Citation: https://www.ncbi.nlm.nih.gov/pubmed/27563488 and http://spie.org/Publications/Proceedings/Paper/10.1117/12.2043872

### Inspiration

Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error.

### 上下文

浸润性导管癌（Invasive Ductal Carcinoma，IDC）是所有乳腺癌中最常见的亚型。为了对整个切片样本进行侵袭性分级，病理学家通常关注含有IDC的区域。因此，自动侵袭性分级预处理步骤中的一项常见任务是对整个切片切片中IDC的确切区域进行分割。

### 内容

原始数据集包含162张乳腺癌（Breast Cancer，BCa）标本的整个切片图像，扫描分辨率为40倍。从中提取了277,524个尺寸为50x50的图像块（其中198,738个为IDC阴性，78,786个为IDC阳性）。每个图像块的文件名格式为：u_xX_yY_classC.png —— > 示例10253_idx5_x1351_y1101_class0.png。其中，u代表患者ID（10253_idx5），X代表裁剪此图像块时的x坐标，Y代表裁剪此图像块时的y坐标，而C表示类别，其中0代表非IDC，1代表IDC。

### 致谢

原始文件存储于此：http://gleason.case.edu/webdata/jpi-dl-tutorial/IDC_regular_ps50_idx5.zip
引用：https://www.ncbi.nlm.nih.gov/pubmed/27563488 和 http://spie.org/Publications/Proceedings/Paper/10.1117/12.2043872

### 启发

乳腺癌是女性中最常见的癌症形式，浸润性导管癌（IDC）是乳腺癌中最常见的类型。准确识别和分类乳腺癌亚型是一项重要的临床任务，而自动化方法可以用于节省时间和减少错误。