Image-Based Oocyst Recognition is a computational method that identifies and classifies oocysts in microscopic images by analyzing morphological and textural features specific to oocyst structures, distinguishing it from broader image recognition techniques through its targeted application to parasitic protozoan detection in diagnostic microbiology.
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Kenneth W. Widmer, Deepak Srikumar, Suresh D. Pillai · Applied and Environmental Microbiology · 2005 · 20 citations · Full text
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