Improved image segmentation algorithms for detecting types of acute lymphatic leukaemia-Reference-Cited by-同舟云学术

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Improved image segmentation algorithms for detecting types of acute lymphatic leukaemia

Published:2019-10-22 Issue:13 Volume:13 Page:2595-2603
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Al‐Tahhan F.E.¹,Sakr Ali A.²,Aladle Doaa A.³,Fares M.E.¹

Affiliation:

1. Mathematics Department, Faculty of ScienceMansoura UniversityMansoura35516Egypt

2. Computers and Automatic Control Engineering Department, Faculty of EngineeringKFS University, KFSEgypt

3. Clinical Pathology Department, Faculty of MedicineMansoura UniversityMansoura35516Egypt

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.6515

Reference38 articles.

1. A computer assisted method for leukocyte nucleus segmentation and recognition in blood smear images;Huang D.C.;J. Syst. Softw.,2012

2. Segmentation of white blood cells from microscopic images using a novel combination of K‐means clustering and modified watershed algorithm;Ghane N.;J. Med. Signals Sens.,2017

3. An image processing application for the localization and segmentation of lymphoblast cell using peripheral blood images;Madhloom H.T.;J. Med. Syst.,2012

4. Leucocyte classification for leukaemia detection using image processing techniques

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