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ORIGINAL ARTICLE

Image segmentation and classification of white blood cells with the extreme learning machine and the fast relevance vector machine

Pages 985-989 | Received 25 Nov 2014, Accepted 06 Jan 2015, Published online: 24 Feb 2015

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Bárbara Cristina Félix Nogueira, Carolina Silveira Fontes, Vinícius Monteiro Ferreira, Fabyano Fonseca E Silva & Artur Kanadani Campos. (2022) Preliminary study on tick ectoparasites of horses: effects on tick development and on the haematological parameters of hosts. International Journal of Acarology 48:1, pages 43-49.
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Xufeng Yao, Kai Sun, Xixi Bu, Congyi Zhao & Yu Jin. (2021) Classification of white blood cells using weighted optimized deformable convolutional neural networks. Artificial Cells, Nanomedicine, and Biotechnology 49:1, pages 147-155.
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Articles from other publishers (4)

Kishore Balasubramanian, K. Gayathri Devi & K. Ramya. (2023) Classification of white blood cells based on modified U‐Net and SVM . Concurrency and Computation: Practice and Experience 35:28.
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Bárbara Cristina Félix Nogueira, Elaine da Silva Soares, Andrés Mauricio Ortega Orozco, Leandro Abreu da Fonseca & Artur Kanadani Campos. (2023) Evidence that ectoparasites influence the hematological parameters of the host: a systematic review. Animal Health Research Reviews, pages 1-12.
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Khaled Almezhghwi & Sertan Serte. (2020) Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network. Computational Intelligence and Neuroscience 2020, pages 1-12.
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Riya Roy & Swapna Sasi. (2018) Classification of WBC Using Deep Learning for Diagnosing Diseases. Classification of WBC Using Deep Learning for Diagnosing Diseases.

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