Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images
A new intelligent system to tackle the main challenges of confocal corneal imaging is developed. This system underpins the expertise of ophthalmologists. It provides clinically useful factors, saves a useful amount of clinician time in the process. It is able to model the stromal keratocyte cells for better evaluation and fast analysis. Early approval by corneal clinicians.
image classification cornea confocal microscopy artificial neural network adaptive neuro fuzzy inference system texture features