Hybrid MNLTP Texture Descriptor and PDCNN-Based OCT Image Classification for Retinal Disease Detection
Source abstract
Abstract
Retinal Optical Coherence Tomography (OCT) images, a non-invasive imaging technique, have become a standard retinal disease detection tool. Due to disease, there are morphological and textural changes in the layers of the ret... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Retinal Imaging and Analysis · Brain Tumor Detection and Classification · Digital Imaging for Blood Diseases
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (25)
Show source-provided references
1. Livelayer: a semi-automatic software program for segmentation of layers and diabetic macular edema in optical coherence tomography images10.1038/s41598-021-92713-y ↗
2. A novel approach for automatic classification of macular degeneration OCT images10.1038/s41598-024-70175-2 ↗
3. Distinctions between choroidal neovascularization and age macular degeneration in ocular disease predictions via multi-size kernels ξcho-weighted median patterns10.3390/diagnostics13040729 ↗
4. A review on texture-based methods for anomaly detection in retinal optical coherence tomography images10.1016/j.ijleo.2023.171165 ↗
5. Optical coherence tomography-based deep-learning models for classifying normal and age-related macular degeneration and exudative and non-exudative age-related macular degeneration changes10.1007/s40123-019-00207-y ↗
6. Optical coherence tomography image classification using hybrid deep learning and ant colony optimization10.3390/s23156706 ↗
7. Deep learning-based automated classification of multi-categorical abnormalities from optical coherence tomography images10.1167/tvst.7.6.41 ↗
8. Enhanced deep learning model for classification of retinal optical coherence tomography images10.3390/s23125393 ↗
9. Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration10.1364/BOE.8.000579 ↗
10. Macular OCT classification using a multi-scale convolutional neural network ensemble10.1109/TMI.2017.2780115 ↗
11. Multi-scale deep feature fusion for automated classification of macular pathologies from OCT images10.1016/j.bspc.2019.101605 ↗
12. Multi-scale convolutional neural network for automated amd classification using retinal OCT images10.1016/j.compbiomed.2022.105368 ↗
13. Multimodal retinal image analysis via deep learning for the diagnosis of intermediate dry age-related macular degeneration: a feasibility study10.1155/2020/7493419 ↗
14. A data-efficient approach for automated classification of OCT images using generative adversarial network10.1109/LSENS.2019.2963712 ↗
15. Optimized local ternary patterns: a new texture model with set of optimal patterns for texture analysis10.3844/jcssp.2013.1.15 ↗
16. A comparative study of texture measures with classification based on featured distributions10.1016/0031-3203(95)00067-4 ↗
17. Automated macular pathology diagnosis in retinal oct images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding10.1016/j.media.2011.06.005 ↗
18. Classification of SD-OCT volumes using local binary patterns: experimental validation for DME detection10.1155/2016/3298606 ↗
19. Texture and material classification with multi-scale ternary and septenary patterns10.1016/j.jksuci.2022.12.009 ↗
20. Refined color texture classification using CNN and local binary pattern10.1155/2021/5567489 ↗
21. Diagnosis of retinal disorders from optical coherence tomography images using CNN
22. Classification of optical coherence tomography images using a capsule network10.1186/s12886-020-01382-4 ↗
23. Optimization methods for deep neural networks classifying OCT images to detect dental caries
24. Fast and efficient method for optical coherence tomography images classification using deep learning approach10.3390/s22134675 ↗
25. Mixed-decomposed convolutional network: a lightweight yet efficient convolutional neural network for ocular disease recognition10.1049/cit2.12246 ↗