| Title | Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. |
| Publication Type | Journal Article |
| Year of Publication | 2019 |
| Authors | Viswanath, SE, Chirra PV, Yim MC, Rofsky NM, Purysko AS, Rosen MA, Bloch NB, Madabhushi A |
| Journal | BMC medical imaging |
| Volume | 19 |
| Issue | 1 |
| Pagination | 22 |
| Date Published | 2019 02 28 |
| ISSN | 1471-2342 |
| Abstract | For most computer-aided diagnosis (CAD) problems involving prostate cancer detection via medical imaging data, the choice of classifier has been largely ad hoc, or been motivated by classifier comparison studies that have involved large synthetic datasets. More significantly, it is currently unknown how classifier choices and trends generalize across multiple institutions, due to heterogeneous acquisition and intensity characteristics (especially when considering MR imaging data). In this work, we empirically evaluate and compare a number of different classifiers and classifier ensembles in a multi-site setting, for voxel-wise detection of prostate cancer (PCa) using radiomic texture features derived from high-resolution in vivo T2-weighted (T2w) MRI. |
| DOI | 10.1186/s12880-019-0308-6 |
| PDF Link | |
| Alternate Journal | BMC Med Imaging |
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