Analysis of Automated Leukemia Cancer Detection using Feature Selection and Classification Techniques-Reference-Cited by-同舟云学术

Analysis of Automated Leukemia Cancer Detection using Feature Selection and Classification Techniques

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
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Author:

Divyapreethi B.¹,Mohanarathinam A.²

Affiliation:

1. Karpagam Academy of Higher Education,Faculty of Engineering,Department of Electronics Communication Engineering,Coimbatore

2. Karpagam Academy of Higher Education,Faculty of Engineering,Department of Biomedical Engineering,Coimbatore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10290135/10289705/10290621.pdf?arnumber=10290621

Reference21 articles.

1. Detection of Leukemia in a human blood sample based on microscopic images: A Study;kasmin;Journal of Theoretical and Applied Information Technology,2012

2. Classification of Blasts in Acute Leukemia Blood Samples Using K-NearestNeighbor;supardi;IEEE 8th International Colloquium on Signal Processing and Its Applications,2012

3. Nucleus segmentation technique for acute Leukemia

4. White Blood Cell Segmentation for Acute Leukemia Bone Marrow Images

5. A new thresholding technique based on fuzzy set as an application to leukocyte nucleus segmentation

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