Abstract
Computerized systems for eye maladies distinguishing proof are significant in the ophthalmology field. Conservative systems for the detection of eye disease depend on labour-intensive awareness of the retinal segments. This work exhibits another directed technique for hemorrhages discovery in advanced retinal images. This strategy utilizes an ANFIS plot for pixel association and registers a 5-D vector made out of dim dimension and Cross Section Profie (CSP) Study-constructed highlights for pixel portrayal. Classification of diseases is a crucial aspect in eye disease categorization through image processing techniques. The categorization of diseases according to pathogen groups is a significant research domain and potentially a challenging area of work. Various classification techniques for single as well as multiple diseases is identified. Classification and detection are very similar, but in classification primary focus is on the categorization of various diseases and then the classification according to various pathogen groups.
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Jayachandran, A., Namboodiri, T.S., Prabhu, L.A.J. (2020). Retinal Image Classification System Using Multi Phase Level Set Formulation and ANFIS. In: Smys, S., Tavares, J., Balas, V., Iliyasu, A. (eds) Computational Vision and Bio-Inspired Computing. ICCVBIC 2019. Advances in Intelligent Systems and Computing, vol 1108. Springer, Cham. https://doi.org/10.1007/978-3-030-37218-7_121
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DOI: https://doi.org/10.1007/978-3-030-37218-7_121
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