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乳腺组织病理学图像数据集,198,738 个 IDC(-) 图像补丁, 78,786 个 IDC(+) 图像补丁

乳腺组织病理学图像数据集,198,738 个 IDC(-) 图像补丁, 78,786 个 IDC(+) 图像补丁

3.12G
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Health,Image Data,Cancer,Binary Classification,Medicine Classification

Invasive Ductal Carcinoma (IDC) is the most common subtype of all breast cancers. To assign an aggressiveness grade to a......

数据结构 ? 3.12G

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    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:  uxXyYclassC.png   — > example 10253idx5x1351y1101class0.png . Where u is the patient ID (10253idx5), 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.


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