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An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Acute Lymphoblastic Leukemia Identification Using Blood Smear Images and a Neural Classifier
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An ensemble classifier system for early diagnosis of acute lymphoblastic leukemia in blood microscopic images
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An Image Processing Application for the Localization and Segmentation of Lymphoblast Cell Using Peripheral Blood Images
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Leucocyte classification for leukaemia detection using image processing techniques
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Morphological classification of blood leucocytes by microscope images
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Automatic morphological analysis for acute leukemia identification in peripheral blood microscope images
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White blood nucleus extraction using K-Mean clustering and mathematical morphing
inferredcites →https://doi.org/10.1109/cspa.2011.5759871openalex-snapshot
Nucleus segmentation technique for acute Leukemia
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Image segmentation using fuzzy clustering: A survey
inferredcites →https://doi.org/10.1109/icip.2011.6115881openalex-snapshot
All-IDB: The acute lymphoblastic leukemia image database for image processing
inferredcites →https://doi.org/10.1109/icsmb.2010.5735344openalex-snapshot
Automated cell nucleus segmentation and acute leukemia detection in blood microscopic images
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Image analysis of blood microscopic images for acute leukemia detection
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Kernel Induced Rough c-means clustering for lymphocyte image segmentation
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Robust Segmentation and Measurements Techniques of White Cells in Blood Microscope Images
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Comparison of Four Kinds of Fuzzy C-Means Clustering Methods
inferredcites →https://doi.org/10.1109/ist.2011.5962188openalex-snapshot
Unsupervised colour segmentation of white blood cell for acute leukaemia images
inferredcites →https://doi.org/10.1109/jsyst.2014.2308452openalex-snapshot
Automated Screening System for Acute Myelogenous Leukemia Detection in Blood Microscopic Images
inferredcites →https://doi.org/10.1109/tfuzz.2010.2089631openalex-snapshot
LDA-Based Clustering Algorithm and Its Application to an Unsupervised Feature Extraction
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New decision support tool for acute lymphoblastic leukemia classification
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The divergent morphological classification of variant lymphocytes in blood smears
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Automated leukemia detection in blood microscopic images using statistical texture analysis
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Leukemia Image Segmentation using K-Means Clustering and HSI Color Image Segmentation
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A study of Edge Detection Techniques for Segmentation Computing Approaches
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Unsupervised Leukocyte Image Segmentation Using Rough Fuzzy Clustering
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Acute Leukemia - The Scientist's Perspective and Challenge
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Improved Otsu and Kapur approach for white blood cells segmentation based on LebTLBO optimization for the detection of Leukemia
inferred← citeshttps://doi.org/10.4015/s1016237221500423openalex-snapshot
EFFICACY OF CIELAB AND CMYK COLOR SPACES IN LEUKEMIA IMAGE ANALYSIS: A COMPARISON BY STATISTICAL TECHNIQUES
inferred← citeshttps://doi.org/10.4018/978-1-6684-8974-1.ch006openalex-snapshot
Classification and Methods of Acute Lymphoblastic Leukemia Detection Using Neural Network
inferred← citeshttps://doi.org/10.4108/eai.16-5-2020.2303967openalex-snapshot
Comparison of Segmentation Algorithms for Leukemia Classification
inferred← citeshttps://doi.org/10.53799/ajse.v20i2.140openalex-snapshot
Identification of Risk of Occurring Skin Cancer (Melanoma) Using Convolutional Neural Network (CNN)
inferred← citeshttps://doi.org/10.5555/2936924.2937222openalex-snapshot
A Vision Enriched Intelligent Agent with Image Description Generation: (Demonstration)
inferred← citeshttps://doi.org/10.5772/intechopen.73675openalex-snapshot
Quantitative-Morphological and Cytological Analyses in Leukemia
inferred← citeshttps://doi.org/10.5815/ijem.2023.01.03openalex-snapshot
An Innovative Leukemia Detection System using Blood Samples via a Microscopic Accessory
inferred← citeshttps://doi.org/10.70675/dfc04b77z4da8z4189zb275zb94d48da0ba4openalex-snapshot
Traitement et analyse d'images microscopiques de cellules dendritiques pour la toxicologie alimentaire
inferred← citeshttps://doi.org/10.7287/peerj-cs.460v0.1/reviews/2openalex-snapshot
Peer Review #2 of "A review of microscopic analysis of blood cells for disease detection with AI perspective (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.460v0.2/reviews/1openalex-snapshot
Peer Review #1 of "A review of microscopic analysis of blood cells for disease detection with AI perspective (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.1813openalex-snapshot
Blood cell image segmentation and classification: a systematic review
inferred← citeshttps://doi.org/10.7717/peerj-cs.460openalex-snapshot
A review of microscopic analysis of blood cells for disease detection with AI perspective
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.