Other (specified in description)
The data is images and labels / annotations for mammography scans. More about the database can be found at MIAS. The 'Preview' kernel shows how the Info.txt and PGM files can be parsed correctly.
2nd column: Character of background tissue: F Fatty G Fatty-glandular D Dense-glandular
3rd column: Class of abnormality present: CALC Calcification CIRC Well-defined/circumscribed masses SPIC Spiculated masses MISC Other, ill-defined masses ARCH Architectural distortion ASYM Asymmetry NORM Normal
4th column: Severity of abnormality; B Benign M Malignant
5th, 6th columns: x,y image-coordinates of centre of abnormality.
7th column: Approximate radius (in pixels) of a circle enclosing the abnormality. There are also several things you should note:
The list is arranged in pairs of films, where each pair represents the left (even filename numbers) and right mammograms (odd filename numbers) of a single patient. The size of all the images is 1024 pixels x 1024 pixels. The images have been centered in the matrix. When calcifications are present, centre locations and radii apply to clusters rather than individual calcifications. Coordinate system origin is the bottom-left corner. In some cases calcifications are widely distributed throughout the image rather than concentrated at a single site. In these cases centre locations and radii are inappropriate and have been omitted.
MAMMOGRAPHIC IMAGE ANALYSIS SOCIETY MiniMammographic Database
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Automatically finding lesions would be a very helpful tool for physicians, also predicting malignancy based on a found/marked lesion