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Unsupervised Leukocyte Image Segmentation Using Rough Fuzzy Clustering
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/1361-6374(199806)6:2<79::aid-bio3>3.0.co;2-#openalex-snapshot
Robust cell nuclei segmentation using statistical modelling
inferredcites →https://doi.org/10.1002/cyto.a.10079openalex-snapshot
A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks
inferredcites →https://doi.org/10.1007/978-0-85729-333-6_10openalex-snapshot
Cell Image Segmentation for Diagnostic Pathology
inferredcites →https://doi.org/10.1007/978-3-540-69139-6_39openalex-snapshot
Blood Cell Image Segmentation: A Review
inferredcites →https://doi.org/10.1016/j.micron.2010.04.017openalex-snapshot
Automated leukocyte recognition using fuzzy divergence
inferredcites →https://doi.org/10.1016/j.patrec.2004.05.007openalex-snapshot
An evolutionary rough partitive clustering
inferredcites →https://doi.org/10.1016/j.patrec.2004.11.022openalex-snapshot
A cluster validity index for fuzzy clustering
inferredcites →https://doi.org/10.1016/s0167-8655(97)00131-1openalex-snapshot
An improved seeded region growing algorithm
inferredcites →https://doi.org/10.1016/s0262-8856(01)00092-0openalex-snapshot
Analysis of infected blood cell images using morphological operators
inferredcites →https://doi.org/10.1016/s0362-546x(01)00707-6openalex-snapshot
Automated contour detection in blood cell images by an efficient snake algorithm
inferredcites →https://doi.org/10.1023/b:jiis.0000029668.88665.1aopenalex-snapshot
Interval Set Clustering of Web Users with Rough K-Means
inferredcites →https://doi.org/10.1046/j.1365-2818.2000.00653.xopenalex-snapshot
Iterative thresholding for segmentation of cells from noisy images
inferredcites →https://doi.org/10.1109/fuzzy.2004.1375712openalex-snapshot
A fuzzy approach to white blood cells segmentation in color bone marrow images
inferredcites →https://doi.org/10.1109/fuzzy.2008.4630393openalex-snapshot
An analysis of robustness of partition coefficient index
inferredcites →https://doi.org/10.1109/icbbe.2008.143openalex-snapshot
A Comparison of Validation Indices for Evaluation of Clustering Results of DNA Microarray Data
inferredcites →https://doi.org/10.1109/icdsp.2002.1028167openalex-snapshot
Teager energy based blood cell segmentation
inferredcites →https://doi.org/10.1109/iciap.1999.797734openalex-snapshot
Cell segmentation with median filter and mathematical morphology operation
inferredcites →https://doi.org/10.1109/icosp.2006.345700openalex-snapshot
A novel color image segmentation method and its application to white blood cell image analysis
inferredcites →https://doi.org/10.1109/icpr.2000.903568openalex-snapshot
Segmentation of blood images using morphological operators
inferredcites →https://doi.org/10.1109/icsmb.2010.5735344openalex-snapshot
Automated cell nucleus segmentation and acute leukemia detection in blood microscopic images
inferredcites →https://doi.org/10.1109/isbi.2002.1029239openalex-snapshot
An accurate segmentation method for white blood cell images
inferredcites →https://doi.org/10.1109/itng.2010.219openalex-snapshot
Medical Image Segmentation Using Improved Mountain Clustering Technique Version-2
inferredcites →https://doi.org/10.1109/techsym.2010.5469197openalex-snapshot
Statistical pattern analysis of white blood cell nuclei morphometry
inferredcites →https://doi.org/10.1109/tencon.2003.1273221openalex-snapshot
Automation of differential blood count
inferredcites →https://doi.org/10.1109/titb.2005.855545openalex-snapshot
A New Detection Algorithm (NDA) Based on Fuzzy Cellular Neural Networks for White Blood Cell Detection
inferredcites →https://doi.org/10.1109/titb.2007.892694openalex-snapshot
Morphological Granulometric Features of Nucleus in Automatic Bone Marrow White Blood Cell Classification
inferredcites →https://doi.org/10.1109/tsmcb.2005.863371openalex-snapshot
Rough–Fuzzy Collaborative Clustering
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/jbio.202500121openalex-snapshot
Unstained Blood Smear Analysis: A Review of Rule‐Based, Machine Learning, and Deep Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-3-319-47223-2_5openalex-snapshot
Microscopic Image Segmentation Using Hybrid Technique for Dengue Prediction
inferred← citeshttps://doi.org/10.1007/978-3-642-41218-9_39openalex-snapshot
Soft Clustering to Determine Ambiguous Regions during Medical Images Segmentation
inferred← citeshttps://doi.org/10.1007/978-981-15-0035-0_17openalex-snapshot
Leukemia Cell Segmentation from Microscopic Blood Smear Image Using C-Mode
inferred← citeshttps://doi.org/10.1007/978-981-19-2057-8_1openalex-snapshot
Segmentation of White Blood Cells in Acute Myeloid Leukemia Microscopic Images: A Review
inferred← citeshttps://doi.org/10.1016/j.bbe.2020.08.010openalex-snapshot
A survey on image segmentation of blood and bone marrow smear images with emphasis to automated detection of Leukemia
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.107159openalex-snapshot
Unsupervised attention-guided domain adaptation model for Acute Lymphocytic Leukemia (ALL) diagnosis
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123156openalex-snapshot
An indeterminacy fusion of encoder-decoder network based on neutrosophic set for white blood cells segmentation
inferred← citeshttps://doi.org/10.1038/srep14938openalex-snapshot
An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images
inferred← citeshttps://doi.org/10.1109/access.2022.3196037openalex-snapshot
A Systematic Review on Recent Advancements in Deep and Machine Learning Based Detection and Classification of Acute Lymphoblastic Leukemia
inferred← citeshttps://doi.org/10.1109/codis.2012.6422147openalex-snapshot
Image segmentation using rough-fuzzy K-medoid algorithm
inferred← citeshttps://doi.org/10.1109/sips.2015.7344978openalex-snapshot
A simple and accurate method for white blood cells segmentation using K-means algorithm
inferred← citeshttps://doi.org/10.1117/12.2043605openalex-snapshot
Selection of the best features for leukocytes classification in blood smear microscopic images
inferred← citeshttps://doi.org/10.1145/2381716.2381728openalex-snapshot
Image segmentation using rough set based k-means algorithm
inferred← citeshttps://doi.org/10.13140/rg.2.1.4080.2724openalex-snapshot
Unsupervised Segmentation Technique For Acute Leukemia Cells Using Clustering Algorithms
inferred← citeshttps://doi.org/10.33832/ijast.2019.129.03openalex-snapshot
Application of Rough Set Theory in Medical Health Care Data Analytics
inferred← citeshttps://doi.org/10.4018/978-1-5225-0571-6.ch059openalex-snapshot
Image Segmentation Using Rough Set Theory
inferred← citeshttps://doi.org/10.4018/ijrsda.2014070105openalex-snapshot
Image Segmentation Using Rough Set Theory
inferred← citeshttps://doi.org/10.5120/14912-3516openalex-snapshot
Image Segmentation for Different Color Spaces using Dynamic Histogram based Rough-Fuzzy Clustering Algorithm
inferred← citeshttps://doi.org/10.55056/ceur-ws.org/vol-4164/paper32.pdfopenalex-snapshot
Method of Immunohistochemical Slide Analysis
inferred← citeshttps://doi.org/10.5772/intechopen.73675openalex-snapshot
Quantitative-Morphological and Cytological Analyses in Leukemia
inferred← citeshttps://doi.org/10.9790/0661-1537178openalex-snapshot
A Survey of Image Segmentation based on Artificial Intelligence and Evolutionary Approach
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