Medical image retrieval for detecting pneumonia using binary classification with deep convolutional neural networks-Reference-Cited by-同舟云学术

Medical image retrieval for detecting pneumonia using binary classification with deep convolutional neural networks

Published:2020-08-17 Issue:6 Volume:41 Page:1419-1431
ISSN:0252-2667
Container-title:Journal of Information and Optimization Sciences
language:en
Short-container-title:Journal of Information and Optimization Sciences

Author:

Dureja Aman¹,Pahwa Payal²

Affiliation:

1. University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Sector 16 C, Dwarka, New Delhi 110078, India

2. Department of Computer Science & Engineering, Bhagwan Parshuram Institute of Technology, Sector 17, Rohini, New Delhi 110089, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02522667.2020.1809096

Reference28 articles.

1. A review of content-based image retrieval systems in medical applications—clinical benefits and future directions

2. Linear Models of Cumulative Distribution Function for Content-based Medical Image Retrieval

3. Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval

4. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of pneumonia in chest X‐ray image based on separable convolutional neural network;Concurrency and Computation: Practice and Experience;2024-05-23

2. Exploration of Chinese cultural communication mode based on the Internet of Things and mobile multimedia technology;PeerJ Computer Science;2023-04-18

3. DCGAN-based deep learning approach for medicinal leaf identification;Journal of Information and Optimization Sciences;2023

4. Deep learning for automatic identification of plants through leaf;Journal of Information and Optimization Sciences;2023

5. Impact analysis of convolutional neural network in classification of satellite imagery;Journal of Information and Optimization Sciences;2023