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The primary objective is the precise classification of mammograms into cancerous and non-cancerous categories, utilizing advanced Deep Learning. Additionally, a secondary focus involves the classification of cancerous mammograms based on the stages of cancer.

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LamiaaElOuatili/Detection_of_breast_cancer

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The CBIS-DDSM Dataset

This CBIS-DDSM (Curated Breast Imaging Subset of DDSM) is an updated and standardized version of the Digital Database for Screening Mammography (DDSM). The DDSM is a database of 2,620 scanned film mammography studies. It contains normal, benign, and malignant cases with verified pathology information. The scale of the database along with ground truth validation makes the DDSM a useful tool in the development and testing of decision support systems. The CBIS-DDSM collection includes a subset of the DDDSM data selected and curated by a trained mammographer. The images have been decompressed and converted to DICOM format. Updated ROI segmentation and bounding boxes, and pathologic diagnosis for training data are also included.

Key information :

Number of Studies: 6775
Number of Series: 6775
Number of Participants: 1,566(NB)
Number of Images: 10239
Modalities: MG
Image Size (GB): 6(.jpg)

Breast Histopathology Images

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.

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The primary objective is the precise classification of mammograms into cancerous and non-cancerous categories, utilizing advanced Deep Learning. Additionally, a secondary focus involves the classification of cancerous mammograms based on the stages of cancer.

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