Abstracto

Abnormality Classification of Diabetic Macular EDEMA in Retinal Images

Angurajsiva. J, Mrs. S. Vasanthi

Diabetic Macular Edema disease leads to vision loss problem in Diabetic patients. Early detection of Macular Edema in diabetic patients pave a path for prevention from blindness. Diabetic Macular Edema (DME) occurs when blood vessels in the retina of patients with diabetes begin to leak into the macula region of eye. These leakages cause the macula to thicken and swell, progressively leads to vision loss. The automatic detection of Diabetic Macular Edema and classification of DME severity is done in this paper. The Hard Exudates (HE) presence in macula region is detected and the features are extracted. The extracted features are inputised to Adaptive Neuro Fuzzy Inference System (ANFIS) to classify the images as normal and the abnormal image severity levels as mild, moderate and severe.

Descargo de responsabilidad: este resumen se tradujo utilizando herramientas de inteligencia artificial y aún no ha sido revisado ni verificado.

Indexado en

Academic Keys
ResearchBible
CiteFactor
Cosmos SI
Búsqueda de referencia
Universidad Hamdard
Catálogo mundial de revistas científicas
director académico
Factor de impacto de revistas innovadoras internacionales (IIJIF)
Instituto Internacional de Investigación Organizada (I2OR)
Cosmos

Ver más