Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6891041 | Computer Methods and Programs in Biomedicine | 2018 | 12 Pages |
Abstract
Conclusions: The results collected from different clinical scenarios (urinary infections and throat swab screening) together with accurate error analysis demonstrate the suitability of our system for robust hemolysis detection and classification, which remains feasible even in challenging conditions (low contrast or illumination changes).
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Authors
Mattia Savardi, Alessandro Ferrari, Alberto Signoroni,