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Improved Dominance Soft Set Based Decision Rules with Pruning for Leukemia Image Classification
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1 of the 46 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00521-016-2514-2 (notice 2023-01-02).
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dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
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What this work says
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inferredcites →https://doi.org/10.1007/978-3-642-04020-7openalex-snapshotEmerging intelligent computing technology and applications : with aspects of artificial intelligence : 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009, proceedings
inferredcites →https://doi.org/10.1016/j.cmpb.2018.02.005openalex-snapshotA review of the automated detection and classification of acute leukaemia: Coherent taxonomy, datasets, validation and performance measurements, motivation, open challenges and recommendations
inferredcites →https://doi.org/10.1016/j.dsp.2013.07.005openalex-snapshotImproved spatial fuzzy c-means clustering for image segmentation using PSO initialization, Mahalanobis distance and post-segmentation correction
What points at this work
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inferred← citeshttps://doi.org/10.4018/ijskd.290657openalex-snapshotHybrid Rough Set With Black Hole Optimization-Based Feature Selection Algorithm for Protein Structure Prediction
inferred← citeshttps://doi.org/10.4018/ijskd.324164openalex-snapshotNovel Adaptive Histogram Binning-Based Lesion Segmentation for Discerning Severity in COVID-19 Chest CT Scan Images
inferred← citeshttps://doi.org/10.7717/peerj-cs.2997openalex-snapshotAcute lymphoblastic leukemia cancer diagnosis in children and adults using transforming blood fluorescence microscopy imaging
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