Medical Image Analysis of Multiple Myeloma Diagnosis Using CNN and KNN Based Approach-Reference-Cited by-同舟云学术

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Medical Image Analysis of Multiple Myeloma Diagnosis Using CNN and KNN Based Approach

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
language:
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Author:

M Sakthivel¹,Sudman Md Sakiul Islam²,Ravishankar K³,Avinash Bhagyalakshmi⁴,Kumar Anup⁵,Ponnusamy Muruganantham⁶

Affiliation:

1. Malla Reddy College of Engineering,Department of CSE-AIML,Hyderabad,Telangana,India

2. University of Texas at Arlington,Department of Electrical Engineering,Arlington,Texas,USA

3. School of Computing, Sathyabama University,Department of CSE,Chennai,Tamilnadu,India

4. JSS Dental College & Hospital,Department of Orthodontics & Dentofacial Orthopaedics,Mysore,Karnataka,India

5. NIELIT,Itanagar,Arunachal Pradesh,India

6. Indian Institute of Information Technology,Kalyani, Nadia,West Bengal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331744.pdf?arnumber=10331744

Reference25 articles.

1. New machine-learning technologies for computer-aided diagnosis

2. Machine learning applications in genetics and genomics

3. Macroeconomic dynamics and magnitude of poverty: a comparative analysis of different regimes

4. Epidemiology, genetics and treatment of multiple myeloma and precursor diseases

5. Outcome data from >10 000 multiple myeloma patients in the Danish and Swedish national registries

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