Enhancing Medical Image Segmentation with Recurrent Neural Network Architectures-Reference-Cited by-同舟云学术

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Enhancing Medical Image Segmentation with Recurrent Neural Network Architectures

Published:2024-03-15 Issue: Volume:10 Page:824-830
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
language:
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Author:

Masson Palak¹,Sharma Deepak²,Yadav Kanchan³,Sethi Tarun⁴

Affiliation:

1. Raj Kumar Goel Institute of Technology,Department of Computer Science & Engineering,Ghaziabad,UP,India

2. SRM Institute of Science and Technology,Department of Computer Applications,Modinagar,UP,India

3. GLA University,Department of Mechanical Engineering,Mathura,UP,India

4. IAMR,Department of Computer Applications,Ghaziabad,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489522.pdf?arnumber=10489522

Reference20 articles.

1. Optimal Medical Image Size Reduction Model Creation Using Recurrent Neural Network and GenPSOWVQ

2. A Secured Database Monitoring Method to Improve Data Backup and Recovery Operations in Cloud Computing

3. Simulation of the Lightweight Blockchain Technique Based on Privacy and Security for Healthcare Data for the Cloud System

4. ResGANet: Residual group attention network for medical image classification and segmentation

5. Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things

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