La tecnologia/The technology

The algorithm provide novel tools for assessing OCT images of the anterior chamber. They can be used for direct classification of the images defined by the ophthalmologists(closed, narrow, open and wide open) and, furthermore, they can be linked to established quantities used for characterizing diseased eyes (like chamber depth, iris-corneal angle) resultin in an automatic detection system. As the algorithm is fully unsupervised, it can be easily automated and set up in OCT imaging systems to aid technicians and doctors in an early diagnosis.

Avantatges innovadores/Innovative advantages

The two main advantages of the algorithm demonstrated here over previous works are that it doesn’t need any ground truth or gold standard for training, and it does not rely on specific landmarks; thus, it can analyze images in which relevant landmarks are not visible or not easy to locate. 

Importantly, this method is fully autonomous and can be used to analyze images with a wide spectrum of quality, even those with high levels of noise and artifacts.

The new algorithm have been tested with a set of images classified by two expert ophthalmologists, and with a larger set of annotated images.

Fase actual de desenvolupament/Current stage of development

Technology tested and ready to comercialize

Aplicacions i mercat objectiu/Applications and target market