A computer science student at London's Brunel University just developed an algorithm that could be useful in the detection of serious retinal diseases.
This new algorithm is helpful for eye doctors because it automatically divides retinal images in ocular coherence tomography (OCT) scans. Doctors can then use these segmented images to get a clearer picture of the health of their patient's retina.
Bashir Dodo, 29, is the man behind this new algorithm. Mr. Dodo is currently working on his doctorate at Brunel University.
Although opticians can segment images on their own, it's a time-consuming process. Mr. Dodo's algorithm will significantly reduce the amount of time doctors spend segmenting retinal images. The hope is that this algorithm will bring down medical expenditures and increase the accuracy of optician's diagnoses.
Of course, this new algorithm still needs further testing before it becomes a part of mainstream diagnostic procedures. Mr. Dodo hopes his algorithm will help improve the quality of eye care in the UK and beyond.
For his work, Mr. Dodo was awarded the Best Student Paper at the Fifth International Conference on Bioimaging. This year's Bioimaging conference was held in Funchal in Portugal's island of Madeira between January 19th and 21st.
Formed in 1966, Brunel University London is headquartered in the western district of Uxbridge. This public university has three main schools: the College of Engineering, Design, and Physical Sciences; the College of Business, Arts, and Social Sciences; and the College of Health and Life Sciences.