Artificial intelligence based detection of age-related macular degeneration using optical coherence tomography with unique image preprocessing.
Ali Riza Cenk CelebiErkan BulutAysun SezerPublished in: European journal of ophthalmology (2022)
The classification success of proposed CapsNet may be improved with robust pre-processing steps like; determination of ROI and denoised SD-OCT images based on OBNLM. These impactful image preprocessing steps yielded higher accuracy rates for determining different types of AMD including its precursor lesion on the both local and public dataset with proposed CapsNet architecture.
Keyphrases
- deep learning
- artificial intelligence
- age related macular degeneration
- optical coherence tomography
- convolutional neural network
- big data
- machine learning
- diabetic retinopathy
- healthcare
- mental health
- optic nerve
- loop mediated isothermal amplification
- label free
- solid phase extraction
- real time pcr
- simultaneous determination
- tandem mass spectrometry