Supervised Acute Lymphocytic Leukemia Detection and Classification Based - Empirical Mode Decomposition-Reference-Cited by-同舟云学术

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Supervised Acute Lymphocytic Leukemia Detection and Classification Based - Empirical Mode Decomposition

Published:2022-07-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Telecommunications Conference (ITC-Egypt)
language:
Short-container-title:

Author:

Elrefaie Reem Magdy¹,A.Marzouk Elsaid²,A.Mohamed Mohamed²,Ata Mohamed Maher³

Affiliation:

1. Researcher in Mansoura University,Department of Electronics and Communications Engineering,Mansoura,Egypt

2. Mansoura University,Department of Electronics and Communications Engineering, Faculty of Engineering,Mansoura,Egypt

3. MISR Higher institute for Engineering and Technology,Department of Communications and Electronics Engineering,Mansoura,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855646/9855667/09855700.pdf?arnumber=9855700

Reference17 articles.

1. Detection of Acute Lymphoblastic Leukemia Using Machine Learning Techniques

2. A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images

3. Automatic recognition of acute myelogenous leukemia in blood microscopic images using K-means clustering and support vector machine

4. Infection level identification for leukemia detection using optimized Support Vector Neural Network

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Statistical performance review on diagnosis of leukemia, glaucoma and diabetes mellitus using AI;Statistics in Medicine;2024-01-21

2. An Investigational Study of Detecting Acute Lymphoblastic Leukemia using Computer Vision;2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2023-04-21

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