most citedDeep learning enabled multi-wavelength spatial coherence microscope for the classification of malaria-infected stages with limited labelled data size

28 citations · 28 across the 1 of their papers we have counts for

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1 paper

cs.CV2019★ 28 cited

Deep learning enabled multi-wavelength spatial coherence microscope for the classification of malaria-infected stages with limited labelled data size

Neeru Singla, Vishal Srivastava

Malaria is a life-threatening mosquito-borne blood disease, hence early detection is very crucial for health. The conventional method for the detection is a microscopic examination…