AI Article Synopsis
- The article introduces a dataset of approximately 200 microscopic images related to malaria, including infected and normal blood cells at various stages.
- A new contrast enhancement technique is proposed to improve the visibility of malaria-infected cells in these images.
- Experimental results indicate that this method significantly enhances the images, aiding in more accurate malaria diagnosis.
Article Abstract
In this article we introduce a malaria infected microscopic images dataset for contrast enhancement which assist for malaria diagnosis more accurately. The dataset contains around two hundred malaria infected, normal, species and various stages of microscopic blood images. We propose and experimentally demonstrate a contrast enhancement technique for this dataset. This simple technique increases the contrast of an image and hence, reveals significant information about malaria infected cells. Experiments on the dataset show the superior performance of our proposed method for contrast enhancement of malaria microscopic imaging.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820113 | PMC |
| http://dx.doi.org/10.1016/j.dib.2019.104643 | DOI Listing |
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