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Volume - 6 | Issue - 4 | december 2024

Decoding Retinal Patterns through Permutation Importance Analysis Open Access
Sumit Mukherjee  , Ranjit Ghoshal, Bibhas Chandra Dhara  19
Pages: 418-432
Cite this article
Mukherjee, Sumit, Ranjit Ghoshal, and Bibhas Chandra Dhara. "Decoding Retinal Patterns through Permutation Importance Analysis." Journal of Innovative Image Processing 6, no. 4 (2024): 418-432
Published
23 January, 2025
Abstract

Vascular map within the inner surface of retina provides insights about ophthalmic abnormalities or early signs of different eye diseases. Devising a straight forward strategy to analyze the vascular map is quite challenging, given the complex and delicate nature of these vessels, as well as the high level of noise in the data. This article outlines a new method for analyzing vascular map by extracting various features and allocating weightage to these features. The most influential features in identifying the vascular map have been determined using a method called Permutation Importance. Final model is built using these highly qualified features. The performance of the model has been validated using internationally recognized standards and found to be among the top performers in its category.

Keywords

Retinal disorders Permutation Importance Vascular Map Feature extraction

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