Pancreatic Cancer Detection using Machine and Deep Learning Techniques
Author:
Affiliation:
1. Apex Institute of Technology, Chandigarh University,Punjab,India
2. Punjabi University,Department of Computer Science and Engineering,Patiala,Punjab,India
3. Indus University,Department of Computer Science and Engineering,Ahmedabad,Gujarat,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9752773/9753815/09754010.pdf?arnumber=9754010
Reference36 articles.
1. Epidemiology of Pancreatic Cancer: Global Trends, Etiology and Risk Factors
2. Use of Machine-Learning Algorithms in Intensified Preoperative Therapy of Pancreatic Cancer to Predict Individual Risk of Relapse
3. Intelligent behavior of fog computing with IOT for healthcare system;kumar;Int J Sci Technol Res,2019
4. Preoperative Prediction of Pancreatic Neuroendocrine Neoplasms Grading Based on Enhanced Computed Tomography Imaging: Validation of Deep Learning with a Convolutional Neural Network
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