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A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset.

Author(s): Rahman A, Zunair H, Reme TR, Rahman MS, Mahdy MRC

Malaria, one of the leading causes of death in underdeveloped countries, is primarily diagnosed using microscopy. Computer-aided diagnosis of malaria is a challenging task owing to the fine-grained variability in the appearance of some uninfected and infected class. In this paper, we transform a malaria parasite object detection dataset into a classificat ...

Article GUID: 33465520


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