Wisconsin diagnostic dataset · FNA imaging

Thirty measurements in.
One classification out.

Enter the nuclei measurements from a fine needle aspirate. The model returns a benign or malignant call with the probability behind it, so you can see how close the result sits to the decision threshold.

What the model reads

Mean features: Average cell nucleus measurements from the FNA image.
Error features: Standard error values for each nucleus measurement.
Worst features: Largest or most severe observed values across nuclei.

Measurements

Enter the feature values

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Sample data. Fill the form with a known record to test the API.

Mean radiusmean_radiusMean texturemean_textureMean perimetermean_perimeterMean areamean_areaMean smoothnessmean_smoothnessMean compactnessmean_compactnessMean concavitymean_concavityMean concave pointsmean_concave_pointsMean symmetrymean_symmetryMean fractal dimensionmean_fractal_dimension

Radius errorradius_errorTexture errortexture_errorPerimeter errorperimeter_errorArea errorarea_errorSmoothness errorsmoothness_errorCompactness errorcompactness_errorConcavity errorconcavity_errorConcave points errorconcave_points_errorSymmetry errorsymmetry_errorFractal dimension errorfractal_dimension_error

Worst radiusworst_radiusWorst textureworst_textureWorst perimeterworst_perimeterWorst areaworst_areaWorst smoothnessworst_smoothnessWorst compactnessworst_compactnessWorst concavityworst_concavityWorst concave pointsworst_concave_pointsWorst symmetryworst_symmetryWorst fractal dimensionworst_fractal_dimension

30 fields left

Medical disclaimer

This system is for academic and clinical decision-support demonstration only. It does not produce a diagnosis. A qualified healthcare professional makes the final call using clinical examination, imaging, pathology, and laboratory procedures.

Thirty measurements in.One classification out.

Enter the feature values

Thirty measurements in.
One classification out.