Deep Learning Techniques in Gastric Cancer Prediction and Diagnosis-Reference-Cited by-同舟云学术

Deep Learning Techniques in Gastric Cancer Prediction and Diagnosis

Published:2022-05-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON)
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Author:

Bhardwaj Priya¹,Kumar Sanjeev¹,Kumar Yogesh¹

Affiliation:

1. The ICFAI University,ICFAI Tech School,Dehradun,Uttrakhand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9850394/9850440/09850700.pdf?arnumber=9850700

Reference41 articles.

1. Intelligent behavior of fog computing with IOT for healthcare system;kumar;International Journal of Scientific & Technology Research,2019

2. Stomach cancer diagnosis by using a combination of image processing algorithms, local binary pattern algorithm and support vector machine;ahmadzadeh;Journal of Basic and Applied Scientific Research,2013

3. Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data

4. Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study;taninaga;Scientific Reports,2019

5. A deep neural network improves endoscopic detection of early gastric cancer without blind spots

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