Automated lesion detection on MRI scans using combined unsupervised and supervised methods

BMC Medical Imaging

Table 2 Lesion detection performance after applying each main step of the proposed method

	Accuracy	Precision	Recall	Dice
Initial LPM	0.964±0.012	0.555±0.196	0.589±0.151	0.548±0.168
Unsupervised classification	0.981±0.012	0.665±0.183	0.671±0.140	0.663±0.161
Only zero-order features	0.983±0.011	0.747±0.151	0.646±0.145	0.681±0.143
Only 1st-order features	0.983±0.011	0.754±0.149	0.649±0.142	0.687±0.144
Only 2nd-order Features	0.970±0.012	0.526±0.170	0.641±0.152	0.547±0.160
Combine zero- & 1st-order features	0.983±0.011	0.755±0.147	0.649±0.140	0.694±0.126
Combined classification (all 3 features)	0.983±0.011	0.783±0.143	0.685±0.131	0.731±0.106

ISSN: 1471-2342