Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10345455 | Computer Methods and Programs in Biomedicine | 2012 | 17 Pages |
Abstract
⺠Exploiting the visual nature of pit patterns on the colonic mucosa. ⺠Roughly four times faster compared to a previously developed approach. ⺠Significantly higher classification rates compared to our previous work. ⺠More robust against overfitting when compared to other methods.
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Authors
M. Häfner, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba,