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Enhanced Malaria Detection via Image Segmentation by edyvictor is a document available to read on EtoBox.

What is Enhanced Malaria Detection via Image Segmentation about?

This research focuses on enhancing malaria diagnosis through advanced image segmentation techniques, specifically using Adaptive Global Contrast Stretching (AGCS) to improve the quality of blood smear images. By applying AGCS, the study aims to enhance the visibility of Plasmodium parasites, leading to more accurate and timely diagnoses while addressing challenges faced by both manual and automated systems. The findings indicate that AGCS significantly improves image quality, making it a scalable solution f

Author
edyvictor
Language
EN

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