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Year | Number of Results |
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2019 | 1 |
2020 | 1 |
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Page 1
A Review of Automated Methods for the Detection of Sickle Cell Disease.
IEEE Rev Biomed Eng. 2020;13:309-324. doi: 10.1109/RBME.2019.2917780. Epub 2019 May 20.
IEEE Rev Biomed Eng. 2020.
PMID: 31107662
Review.
Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms.
Sahu A, Das PK, Meher S.
Sahu A, et al. Among authors: meher s.
Phys Med. 2023 Oct;114:103138. doi: 10.1016/j.ejmp.2023.103138. Epub 2023 Sep 28.
Phys Med. 2023.
PMID: 37914431
Review.
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An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders.
Das PK, Meher S, Panda R, Abraham A.
Das PK, et al. Among authors: meher s.
IEEE Trans Cybern. 2022 Oct;52(10):10615-10626. doi: 10.1109/TCYB.2021.3062152. Epub 2022 Sep 19.
IEEE Trans Cybern. 2022.
PMID: 33735090
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An Efficient Detection and Classification of Acute Leukemia Using Transfer Learning and Orthogonal Softmax Layer-Based Model.
Das PK, Sahoo B, Meher S.
Das PK, et al. Among authors: meher s.
IEEE/ACM Trans Comput Biol Bioinform. 2023 May-Jun;20(3):1817-1828. doi: 10.1109/TCBB.2022.3218590. Epub 2023 Jun 5.
IEEE/ACM Trans Comput Biol Bioinform. 2023.
PMID: 36318567
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A Unified Local-Global Feature Extraction Network for Human Gait Recognition Using Smartphone Sensors.
Das S, Meher S, Sahoo UK.
Das S, et al. Among authors: meher s.
Sensors (Basel). 2022 May 24;22(11):3968. doi: 10.3390/s22113968.
Sensors (Basel). 2022.
PMID: 35684589
Free PMC article.
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ACDSSNet: Atrous Convolution-based Deep Semantic Segmentation Network for Efficient Detection of Sickle Cell Anemia.
Das PK, Dash A, Meher S.
Das PK, et al. Among authors: meher s.
IEEE J Biomed Health Inform. 2024 Feb 6;PP. doi: 10.1109/JBHI.2024.3362843. Online ahead of print.
IEEE J Biomed Health Inform. 2024.
PMID: 38319780
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