IBM recently released results of new research using deep learning and visual analytics technology to advance early detection of diabetic retinopathy (DR), which reportedly exceed other currently published research efforts for severity classification using deep learning and pathology insights.
According to IBM, the research found that a new method created by the IBM team achieved an accuracy score of 86 percent in classifying the severity of the disease across the five levels recognized on the international clinical DR scale (no DR; mild; moderate; severe; proliferative DR). IBM researchers believe this could potentially help doctors and clinicians have a better view of disease progression and determine treatment.
Using more than 35,000 eye images, the IBM technology was reportedly trained to identify lesions such as micro-aneurysms, hemorrhages and exudates to indicate damage of the retina’s blood vessels and assess both the presence and severity of the disease. IBM research scientists reportedly plan to continue to advance the system's knowledge by increasing its understanding of diabetic retinopathy and the pathologies manifested in the retina from the disease.
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