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Results for “"Sameer Antani"”

7 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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CNN-based image analysis for malaria diagnosis

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Zhaohui Liang, Andrew J. Powell, Ilker Ersoy, Mahdieh Poostchi et al.

Year: 2016Citations: 321

Malaria is a major global health threat. The standard way of diagnosing malaria is by visually examining blood smears for parasite-infected red blood cells under the microscope by qualified technicians. This method is inefficient and the diagnosis depends on the experience and the knowledge of the p...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears

Verified

Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi et al.

Journal: IEEE Journal of Biomedical and Health InformaticsYear: 2020Citations: 106

Computer-assisted algorithms have become a mainstay of biomedical applications to improve accuracy and reproducibility of repetitive tasks like manual segmentation and annotation. We propose a novel pipeline for red blood cell detection and counting in thin blood smear microscopy images, named RBCNe...

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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Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears

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Golnaz Moallem, Mahdieh Poostchi, Hang Yu, Kamolrat Silamut et al.

Year: 2017Citations: 10

A malarial infection is diagnosed and monitored by screening microscope images of blood smears for parasite-infected red blood cells. Millions of blood slides are manually screened for parasites every year, which is a tedious and error-prone process, and which largely depends on the expertise of the...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears

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Golnaz Moallem, Hamed Sari‐Sarraf, Mahdieh Poostchi, Richard J. Maude et al.

Year: 2018Citations: 6

Automated image analysis of slides of thin blood smears can assist with early diagnosis of many diseases. Automated detection and segmentation of red blood cells (RBCs) are prerequisites for any subsequent quantitative highthroughput screening analysis since the manual characterization of the cells ...

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)"

Verified

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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