Determination of Hemoglobin Percentage Through K-Means Algorithm and Image Processing for White Blood Cell Diagnosis-Reference-Cited by-同舟云学术

Determination of Hemoglobin Percentage Through K-Means Algorithm and Image Processing for White Blood Cell Diagnosis

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

S Renukalatha¹,Kumar J. Senthil²,Sangeetha A.³,Hema M.⁴,Kumar Ashok⁵,Rawat Ramesh Singh⁶

Affiliation:

1. Sri Siddhartha Institute of Technology,Department of Computer Science & Engineering,Tumkur,India,572105

2. KIT-Kalaignar Karunanidhi Institute of Technology,Department of Computer Science and Engineering,Coimbatore,India,641402

3. R.M.K College of Engineering and Technology,Department of Computer Science and Engineering,Thiruvallur,India,601206

4. KPR Institute of Engineering and Technology,Department of English,Coimbatore,India,641407

5. Banasthali Vidyapith,Department of Computer Science,Rajasthan,India,304022

6. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275782/10275807/10275883.pdf?arnumber=10275883

Reference8 articles.

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2. Blood Group Detection And RBC, WBC Counting: An Image Processing Approach;sahastrabuddhe;International Journal of Computational Engineering Science,2016

3. A novel white blood cells segmentation algorithm based on adaptive neutrosophic similarity score

4. Regionalization and human development: a proposal for a typology of Health Regions in Brazil;duarte;Rio de Janeiro,2015

5. Segmentation of White Blood Cells from Microscopic Images Using a Novel Combination of K- Means Clustering and Modified Watershed Algorithm;ghane;Journal of medical signals and sensors,2017