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Pathologic Myopia Classification based on Shuffle-EfficientNet Model

Published: 28 February 2024 Publication History

Abstract

Pathologic myopia (PM) is a common retinal degenerative disease that carries the risk of blindness.In recent years, given the latest developments of Artificial Intelligence (AI) technology in the field of computer-aided disease diagnosis and treatment, multiple disease domains have begun to focus on applying this technology to disease diagnosis and treatment. However, only a few studies specifically target Pathological Myopia (PM). In this paper, based on pathologic myopia classification technology is studied. Based on the mainstream deep learning model EfficientNet, the PM classification model shuffle-efficientNet is established. First, the images from the Pathological Myopia dataset (PALM) are preprocessed, then enter them into the ShuffleBlock and MBConv layers for training, and then enter the training results into the full connection layer, calculate the loss function to obtain the prediction result. Finally, we compare this model with EfficientNet, EfficientNetV2, and other traditional models. The experimental result show that the accuracy of Shuffle-EfficientNet reaches 98.1%, slightly higher than EfficientNetV2 at 97.6%, indicating better classification performance.

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  1. Pathologic Myopia Classification based on Shuffle-EfficientNet Model

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    ICCPR '23: Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition
    October 2023
    589 pages
    ISBN:9798400707988
    DOI:10.1145/3633637
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 28 February 2024

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    Author Tags

    1. EfficientNet
    2. PALM
    3. Pathologic myopia
    4. Shuffle-EfficientNet
    5. shuffleBlock

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