Research Article

Ensemble Learning-Based Hybrid Segmentation of Mammographic Images for Breast Cancer Risk Prediction Using Fuzzy C-Means and CNN Model

Table 3

Observations of various parameters on different images from the MIAS database.

Image nameDistanceThresholdSensitivitySpecificityARoCAccuracyPPVNPVFNRFPRFDRFORF1 scoreMCCBMMK

mdb001.pgm0.91012190.08991.00000.37100.92450.99480.92390.91010.0000.00520.07610.16490.28730.08980.9187
mdb002.pgm0.89152170.10850.99980.38930.92590.98040.92540.89150.00020.01960.07460.19530.31320.10830.9057
mdb003.pgm0.91932120.08070.99700.36360.92100.71130.92300.91930.00300.28870.07700.14490.22200.07770.6343
mdb004.pgm0.87712170.12290.99980.40060.92700.98260.92650.87710.00020.01740.07350.21840.33390.12270.9091
mdb005.pgm0.77492160.22510.99960.48080.93540.98220.93450.77490.00040.01780.06550.36620.45390.22470.9166
mdb006.pgm0.75252160.24750.99960.49300.93720.98370.93620.75250.00040.01630.06380.39540.47680.24710.9200
mdb007.pgm0.86492150.13510.99930.40840.92760.94410.92740.86490.00070.05590.07260.23640.34220.13440.8715
mdb008.pgm0.84542110.15460.99580.42270.92600.76970.92870.84540.00420.23030.07130.25750.32410.15040.6984
mdb009.pgm0.85042180.14960.99990.41580.92940.99310.92860.85040.00010.00690.07140.26010.37130.14960.9216
mdb010.pgm0.89332180.10670.99990.38170.92580.99030.92520.89330.00010.00970.07480.19260.31230.10660.9155
mdb011.pgm0.84812180.15190.99990.41750.92950.99320.92870.84810.00010.00680.07130.26350.37410.15180.9219
mdb012.pgm0.85312160.14690.99960.41420.92890.97290.92830.85310.00040.02710.07170.25530.36340.14660.9012
mdb013.pgm0.85692110.14310.99580.41110.92510.75570.92280.85690.00420.24430.07220.24060.30810.13890.6835
mdb014.pgm0.85172160.14830.99960.41790.92900.97320.92840.85170.00040.02680.07160.25740.36530.14800.9016
mdb015.pgm0.88252140.11750.99870.38790.92560.89290.92600.88250.00130.10710.07400.20760.30840.11620.8189