New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images

Abstract This article addresses a new method for the classification of white blood cells (WBCs) using image processing techniques and machine learning methods. The proposed method consists of three steps: detecting the nucleus and cytoplasm, extracting features, and classification. At first, a new a...

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Auteurs principaux: Sajad Tavakoli, Ali Ghaffari, Zahra Mousavi Kouzehkanan, Reshad Hosseini
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/ee7dcef46f894a8c81da499e0aaa5b0c
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