Back to Search
Start Over
MHANet: A hybrid attention mechanism for retinal diseases classification
- Source :
- PLoS ONE, Vol 16, Iss 12, p e0261285 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- With the increase of patients with retinopathy, retinopathy recognition has become a research hotspot. In this article, we describe the etiology and symptoms of three kinds of retinal diseases, including drusen(DRUSEN), choroidal neovascularization(CNV) and diabetic macular edema(DME). In addition, we also propose a hybrid attention mechanism to classify and recognize different types of retinopathy images. In particular, the hybrid attention mechanism proposed in this paper includes parallel spatial attention mechanism and channel attention mechanism. It can extract the key features in the channel dimension and spatial dimension of retinopathy images, and reduce the negative impact of background information on classification results. The experimental results show that the hybrid attention mechanism proposed in this paper can better assist the network to focus on extracting thr fetures of the retinopathy area and enhance the adaptability to the differences of different data sets. Finally, the hybrid attention mechanism achieved 96.5% and 99.76% classification accuracy on two public OCT data sets of retinopathy, respectively.
- Subjects :
- Eye Diseases
Databases, Factual
genetic structures
Vision
Social Sciences
Diagnostic Radiology
Machine Learning
Macular Degeneration
Mathematical and Statistical Techniques
Medical Conditions
Endocrinology
Medicine and Health Sciences
Image Processing, Computer-Assisted
Psychology
Geriatric Ophthalmology
Tomography
Multidisciplinary
Radiology and Imaging
Applied Mathematics
Simulation and Modeling
Retinal Degeneration
Physical Sciences
Retinal Disorders
Medicine
Sensory Perception
Algorithms
Tomography, Optical Coherence
Research Article
Computer and Information Sciences
Endocrine Disorders
Imaging Techniques
Science
Retinal Drusen
Research and Analysis Methods
Macular Edema
Retina
Machine Learning Algorithms
Retinal Diseases
Diagnostic Medicine
Artificial Intelligence
Diabetes Mellitus
Humans
Retinopathy of Prematurity
Retinopathy
Diabetic Retinopathy
Cognitive Psychology
Biology and Life Sciences
Convolution
Choroidal Neovascularization
eye diseases
Ophthalmology
ROC Curve
Geriatrics
Metabolic Disorders
Macular Disorders
Cognitive Science
Perception
Neural Networks, Computer
sense organs
Mathematical Functions
Mathematics
Neuroscience
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....a61703cd382bb162a7d57978561cf1fe