Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images

Research article (Journal of Applied Biomedicine, 2019) · cited 214× · AI/ML
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Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images

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Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-traditional-image-processing-and-deep-learning-approaches-for-classification-of-white-blood-cells-in-perip
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BibTeX @misc{4ortxyz_comparison-of-traditional-image-processing-and-deep-learning-approaches-for-classification-of-white-blood-cells-in-perip_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-traditional-image-processing-and-deep-learning-approaches-for-classification-of-white-blood-cells-in-perip}, note = {Accessed: 2026-05-24}}
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