Back to Search
Start Over
Burn Image Recognition of Medical Images Based on Deep Learning: From CNNs to Advanced Networks
- Source :
- Neural Processing Letters. 53:2439-2456
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Image recognition technology is one of the important research topics in the field of computer vision, which has been widely used in face recognition, aircraft recognition and unmanned driving. As an important research field of computer vision, image target recognition mainly uses the computer to extract the feature information of the target from the acquired image, transforms the content of the image into the feature expression that can be processed by the computer, and classifies the target objects in the image through the appropriate classification algorithm. Compared with traditional image recognition methods, deep learning can learn more complex knowledge. The excellent deep network model can extract the most useful information from the training data, play a good role in generalization, and has a stronger ability to predict the unknown data. For image classification and image recognition, convolutional neural network layer is used to extract image features. The complex network can make large-scale image classification possible. Combined with the specially designed network structure, the target in the image can be located. In this paper, a medical burn image recognition system is constructed by using convolutional neural network technology and deep learning. The proposed model has better robustness compared with existing algorithms.
- Subjects :
- 0209 industrial biotechnology
Contextual image classification
Computer Networks and Communications
business.industry
Computer science
General Neuroscience
Deep learning
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Computational intelligence
02 engineering and technology
Convolutional neural network
Facial recognition system
Field (computer science)
020901 industrial engineering & automation
Artificial Intelligence
Robustness (computer science)
Feature (computer vision)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Software
Subjects
Details
- ISSN :
- 1573773X and 13704621
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- Neural Processing Letters
- Accession number :
- edsair.doi...........a97c5a01ee8c48466b74b6f01f79ebd0