DCT-Based White Blood Cell Image Enhancement for Recognition Using Deep Learning

DCT-Based White Blood Cell Image Enhancement for Recognition Using Deep Learning

White blood cell (WBC) recognition is still a challenging problem because of the high variability and complexity of blood cell images. Blood cell images can vary in quality, resolution, contrast, illumination, staining, and background. Blood cells can also vary in shape, size, color, texture, and di...

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Bibliographic Details
Main Authors: Anh Quynh Vu, Hoan Quoc Bui, Long Tuan Nguyen, Tuyen Ngoc Le
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
White blood cell
discrete cosine transforms
singular value decomposition
image enhancement
illumination compensation
deep learning
Online Access:https://ieeexplore.ieee.org/document/10756654/
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