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Table 3 Automatic segmentation performance in terms of DSC and sensitivity

From: Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

Features

DSC mean ± SD/median ± IQR

Sensitivity mean ± SD/median ± IQR

Number of features

GI

0.607 ± 0.238/0.691 ± 0.255

0.661 ±  0.234/0.721 ± 0.263

2

GI without PET

0.608 ± 0.281/0.722 ± 0.419

0.739 ±  0.290/0.876 ± 0.238

11

GI without DWI

0.573 ± 0.290/0.708 ± 0.445

0.669 ±  0.324/0.825 ± 0.445

8

GI without DWI, without PET

0.577 ± 0.277/0.665 ± 0.419

0.658 ±  0.343/0.813 ± 0.597

25

mRMR

0.665 ± 0.236/0.757 ± 0.189

0.743 ±  0.267/0.836 ± 0.269

8

mRMR without PET

0.618 ± 0.272/0.749 ± 0.413

0.748 ±  0.277/0.873 ± 0.307

7

mRMR without DWI

0.601 ± 0.268/0.701 ± 0.377

0.686 ±  0.328/0.801 ± 0.538

7

mRMR without DWI, without PET

0.584 ± 0.300/0.710 ± 0.393

0.613 ±  0.338/0.784 ± 0.496

8

  1. DSC Dice similarity coefficient, DWI diffusion-weighted imaging, IQR interquartile range, GI Gini Importance, mRMR minimum-redundancy-maximum-relevance, PET positron emission tomography, SD standard deviation. Values presented in bold are the highest values