DCNET: A Novel Implementation of Gastric Cancer Detection System through Deep Learning Convolution Networks-Reference-Cited by-同舟云学术

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DCNET: A Novel Implementation of Gastric Cancer Detection System through Deep Learning Convolution Networks

Published:2022-03-04 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)
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Short-container-title:

Author:

Sharanyaa S.¹,Vijayalakshmi S.²,Therasa M.³,Kumaran U.⁴,Deepika R.⁵

Affiliation:

1. Panimalar Engineering College,Department of Information Technology,Chennai

2. HKBK College of Engineering,Department of Computer Science and Engineering,Bengaluru

3. Panimalar Institute of Technology,Department of Computer Science and Engineering,Chennai

4. Mother Theresa Institute of Engineering and Technology,Computer Science and Engineering,Andhra Pradesh

5. Sri Sairam Engineering College,Department of Computer Science and Engineering,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752771/9752788/09752960.pdf?arnumber=9752960

Reference24 articles.

1. Gastric Cancer: Current Status of Diagnosis and Treatment

2. Detection of gastric cancer risk from X-ray images via patch-based convolutional neural network

3. Gastrointestinal cancer diagnostics by terahertz time domain spectroscopy

4. Gastric cancer: epidemiology, prevention, classification, and treatment

5. Short-Term Heart Rate Variability and Blood Biomarkers of Gastric Cancer Prognosis

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1. Harbor seal whiskers optimization algorithm with deep learning-based medical imaging analysis for gastrointestinal cancer detection;Health Information Science and Systems;2024-05-15

2. Enhancing Gastric Cancer Lymph Node Detection through DL Analysis of CT Images: A Novel Approach for Improved Diagnosis and Treatment;International Journal of Electrical and Electronics Research;2023-06-30

3. Manta Ray Foraging Optimization Transfer Learning-Based Gastric Cancer Diagnosis and Classification on Endoscopic Images;Cancers;2022-11-17

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