Segmentation of White Blood Cells From Microscopic Images Using a Novel Combination of K-Means Clustering and Modified Watershed Algorithm-Reference-Cited by-同舟云学术

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Segmentation of White Blood Cells From Microscopic Images Using a Novel Combination of K-Means Clustering and Modified Watershed Algorithm

Published:2017 Issue:2 Volume:7 Page:92
ISSN:2228-7477
Container-title:Journal of Medical Signals & Sensors
language:en
Short-container-title:J Med Signals Sens

Author:

Vard Alireza,Ghane Narjes,Talebi Ardeshir,Nematollahy Pardis

Publisher

Medknow

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Radiological and Ultrasound Technology,Computer Science (miscellaneous)

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Determination of Hemoglobin Percentage Through K-Means Algorithm and Image Processing for White Blood Cell Diagnosis;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20

3. Tensor-based Color Feature Image Extraction for Blood Cell Recognition;2023 International Conference on System Science and Engineering (ICSSE);2023-07-27

4. A Deep Learning Approach for Diagnosis and Detection of Acute lymphocytic leukemia;2023 Intelligent Methods, Systems, and Applications (IMSA);2023-07-15

5. Diagnostic support of parasitic infections with an AI-powered microscope;Research on Biomedical Engineering;2023-06-19

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