Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958082 | Computer Methods and Programs in Biomedicine | 2017 | 35 Pages |
Abstract
Values of specificity of 98% and sensitivity of 98% were obtained, at pixel level, by an ensemble of non-dominated models generated by MOGA, in a set of 150 CT slices (1,867,602Â pixels), marked by a NeuroRadiologist. This approach also compares favorably at a lesion level with three other published solutions, in terms of specificity (86% compared with 84%), degree of coincidence of marked lesions (89% compared with 77%) and classification accuracy rate (96% compared with 88%).
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Authors
Elmira Hajimani, M.G. Ruano, A.E. Ruano,