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Red blood cell segmentation by thresholding and Canny ...
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由 F Al-Hafiz 著作2018被引用 61 次 — This paper proposes an automatic segmentation algorithm for RBCs that automatically computes the threshold image using boundary-based methods.
Red blood cell segmentation by thresholding and Canny ...
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由 F Al-Hafiz 著作2018被引用 61 次 — This paper proposes an automatic segmentation algorithm for RBCs that automatically computes the threshold image using boundary-based methods after enhancing ...
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Red blood cell segmentation by thresholding and Canny ...
ResearchGate
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2018年11月15日 — This paper proposes an automatic segmentation algorithm for RBCs that automatically computes the threshold image using boundary-based methods ...
Red blood cell segmentation by thresholding and Canny detector
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A novel frame to segment and count cells without too many manually annotated cell images is presented, and the segmentation and count performance of the ...
A Deep Learning Approach for Segmentation of Red Blood ...
National Institutes of Health (NIH) (.gov)
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National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 M Delgado-Ortet 著作2020被引用 77 次 — This work presents a novel three-stage pipeline to (1) segment erythrocytes, (2) crop and mask them, and (3) classify them into malaria infected or not.
Comparison of the TCD algorithm with the Sobel and ...
ResearchGate
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In [24] , the authors applied the thresholding technique for the segmentation and detection of RBCs corners and recorded an accuracy of 87.9%. This method ...
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Blood cell image segmentation and classification
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 M Shahzad 著作2024被引用 8 次 — They accomplished simultaneous segmentation of red blood cells (RBCs) and white blood cells ... Red blood cell segmentation by thresholding and canny detector.
Employing Image-Based Canny Edge Detection Method for Blood ...
healthinformaticsjournal.com
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segmentation, and Canny Edge Detection Algorithm ... Thresholding is a widely used image segmentation practice. ... Red Blood Cell Counting Using Masking And.
A Deep Learning Approach for Segmentation of Red Blood Cell ...
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A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection ... Red blood cell segmentation by thresholding and Canny detector.
Automatic Detection and Quantification of WBCs and RBCs ...
Wiley Online Library
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Wiley Online Library
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由 YM Alomari 著作被引用 135 次 — The proposed method uses an iterative structured circle detection algorithm for the segmentation and counting of WBCs and RBCs.
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