Mathematical Framework for Modeling Tumor Growth in Cancer Patients Using Fractional Derivatives-Reference-Cited by-同舟云学术

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Mathematical Framework for Modeling Tumor Growth in Cancer Patients Using Fractional Derivatives

Published:2024-05-09 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Kalaiselvi S¹,Edna K.Rebecca Jebaseeli²,Hidayat Abas³,Joyce V.Jemmy²,Xavier Linus A⁴,Sethy Pradyumna Kumar⁵

Affiliation:

1. University College of Engineering BIT Campus Anna University,Department of Mathematics,Trichy,pin 620024

2. Karunya Institute of Technology and Sciences,Dept of Mathematics,Coimbatore,Tamil Nadu

3. Jl. BrigjendDharsono No.12b, Kertawinangun, Kedawung, Cirebon,West Java,Indonesia,45153

4. Product Head at Subex,London,UK

5. University of Delhi,Department of physics

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10601631/10601667/10602198.pdf?arnumber=10602198

Reference14 articles.

1. Exosome-mediated metabolic reprogramming: the emerging role in tumor microenvironment remodeling and its influence on cancer progression

2. A Combined Deep CNN-LSTM Network for Chromosome Classification for Metaphase Selection

3. Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features

4. An Efficient Machine Learning Model for Breast cancer categorization using Logistic Regression on Histopathological images

5. IoT based Smart Robotic Design for Identifying Human Presence in Disaster Environments Using Intelligent Sensors

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