Back to Search
Start Over
Dual discriminative local coding for tissue aging analysis
- Publication Year :
- 2017
- Publisher :
- Elsevier, 2017.
-
Abstract
- In aging research, morphological age of tissue helps to characterize the effects of aging on different individuals. While currently manual evaluations are used to estimate morphological ages under microscopy, such operation is difficult and subjective due to the complex visual characteristics of tissue images. In this paper, we propose an automated method to quantify morphological ages of tissues from microscopy images. We design a new sparse representation method, namely dual discriminative local coding (DDLC), that classifies the tissue images into different chronological ages. DDLC in- corporates discriminative distance learning and dual-level local coding into the basis model of locality-constrained linear coding thus achieves higher discriminative capability. The morphological age is then computed based on the classification scores. We conducted our study using the publicly avail- able terminal bulb aging database that has been commonly used in existing microscopy imaging research. To represent these images, we also design a highly descriptive descriptor that combines several complementary texture features extracted at two scales. Experimental results show that our method achieves significant improvement in age classification when compared to the existing approaches and other popular classifiers. We also present promising results in quantification of morphological ages.
- Subjects :
- 0301 basic medicine
Aging
Linear coding
Databases, Factual
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Health Informatics
Pattern Recognition, Automated
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Discriminative model
Animals
Radiology, Nuclear Medicine and imaging
Caenorhabditis elegans
Microscopy
Radiological and Ultrasound Technology
business.industry
Pattern recognition
Sparse approximation
Computer Graphics and Computer-Aided Design
ComputingMethodologies_PATTERNRECOGNITION
030104 developmental biology
Computer Vision and Pattern Recognition
Artificial intelligence
Age classification
business
Algorithms
Automated method
Coding (social sciences)
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....9fe68e0c30e87f1989e8d0786ea37e89