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Results for “"Sivaramakrishnan Rajaraman"”

3 results

Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images

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Sivaramakrishnan Rajaraman, Sameer Antani, Mahdieh Poostchi, Kamolrat Silamut et al.

Journal: PeerJYear: 2018Citations: 549

parasites transmitted through the bite of female Anopheles mosquito. Microscopists commonly examine thick and thin blood smears to diagnose disease and compute parasitemia. However, their accuracy depends on smear quality and expertise in classifying and counting parasitized and uninfected cells. Su...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images

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Sivaramakrishnan Rajaraman, Kamolrat Silamut, Md. Aiub Hossain, Ilker Ersoy et al.

Journal: Journal of Medical ImagingYear: 2018Citations: 66

Convolutional neural networks (CNNs) have become the architecture of choice for visual recognition tasks. However, these models are perceived as black boxes since there is a lack of understanding of the learned behavior from the underlying task of interest. This lack of transparency is a serious dra...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Peer Review #2 of "Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images (v0.3)"

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Sivaramakrishnan Rajaraman, Sameer Antani, Mahdieh Poostchi, Kamolrat Silamut et al.

Year: 2018

Malaria is a blood disease caused by the Plasmodium parasites transmitted through the bite of female Anopheles mosquito.Microscopists commonly examine thick and thin blood smears to diagnose disease and compute parasitemia.However, their accuracy depends on smear quality and expertise in classifying...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
Read Source
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