Pneumonia detection research based on fine-grained image classification

Honglian Shen; Fu Su; Tao Dan

doi:10.1117/12.2684900

19 October 2023 Pneumonia detection research based on fine-grained image classification

Honglian Shen, Fu Su, Tao Dan

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127092G (2023) https://doi.org/10.1117/12.2684900
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

In recent years, the novel coronavirus has been raging around the world, which has brought a huge impact on the lives and health of people around the world and social and economic development. Therefore, the research on pneumonia detection methods is of great significance. At present, the pneumonia detection method based on deep learning has attracted the attention of scholars at home and abroad because of its excellent effect, low cost, and fast detection speed; however, there are still many problems in this technical field, such as insufficient detection accuracy, slow response speed, detection Poor reliability, no end-to-end implementation of segmentation and detection; this paper proposes a binary tree cycle attention convolutional neural network (BRA- CNN), the network can identify two discriminative regions at the same time at each layer, forming a binary tree structure, which greatly reduces the disadvantages of the complete failure of the rear network due to the recognition error of the front network, and designed a dedicated loss function for the network, make the network training process go smoothly.

Citation Download Citation

Honglian Shen, Fu Su, and Tao Dan "Pneumonia detection research based on fine-grained image classification", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127092G (19 October 2023); https://doi.org/10.1117/12.2684900

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image classification

Detection and tracking algorithms

Object detection

Convolutional neural networks

Quantum deep learning

Chest imaging

Quantum networks

Show All Keywords

Keywords/Phrases

Search In:

Publication Years