Progress in Automated Cancer Detection with Recursive Neural Networks-Reference-Cited by-同舟云学术

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Progress in Automated Cancer Detection with Recursive Neural Networks

Published:2024-05-09 Issue: Volume:4 Page:863-868
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
language:
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Author:

Richa ¹,Patro B.D.K¹,Kumar Mukesh²,Pal Atul¹,Kumar Anuj³^ORCID,Aeri Manisha⁴

Affiliation:

1. Rajkiya Engineering College, Kannauj Affiliated to Dr. A.P.J. AKTU,Department of Computer Science and Engineering,Lucknow,India

2. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India,248002

3. Management Education & Research Institute (MERI), Affiliated to GGSIP University,Department of Information Technology,New Delhi,India

4. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10593330.pdf?arnumber=10593330

Reference16 articles.

1. A systematic review on Machine learning and Neural Network based models for disease prediction

2. Identification of meningioma tumor using recurrent neural networks

3. Deep Machine Learning for Medical Diagnosis;Gayap;Application to Lung Cancer Detection: A Review. BioMedInformatics,2024

4. HBO-GMRNN: Honey badger optimization based gain modulated recurrent neural network for classification of breast cancer

5. An innovation prediction of DNA damage of melanoma skin cancer patients using deep learning

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