Effective segmentations in white blood cell images using ϵ-SVR-based detection method

• Published in: Neural computing & applications Vol. 31; no. 10; pp. 6767 - 6780
• Main Authors: Cao, Feilong, Liu, Yuehua, Huang, Zhen, Chu, Jianjun, Zhao, Jianwei
• Format: Journal Article
• Language: English
• Published: London Springer London 01.10.2019
• Subjects: Artificial Intelligence; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Image Processing and Computer Vision; Original Article; Probability and Statistics in Computer Science; Support vector regression; GrabCut algorithm; Segmentation; Detection; White blood cell (WBC) image

White blood cell (WBC) image detection plays an important role in automatic morphological systems since it can simplify and facilitate WBC segmentation and classification procedures. However, existing WBC detection methods mainly rely on the location of the nucleus, which is found difficult to achie...