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  • Open Access

    ARTICLE

    Refined Anam-Net: Lightweight Deep Learning Model for Improved Segmentation Performance of Optic Cup and Disc for Glaucoma Diagnosis

    Khursheed Aurangzeb*, Syed Irtaza Haider, Musaed Alhussein

    CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1381-1405, 2024, DOI:10.32604/cmc.2024.048987

    Abstract In this work, we aim to introduce some modifications to the Anam-Net deep neural network (DNN) model for segmenting optic cup (OC) and optic disc (OD) in retinal fundus images to estimate the cup-to-disc ratio (CDR). The CDR is a reliable measure for the early diagnosis of Glaucoma. In this study, we developed a lightweight DNN model for OC and OD segmentation in retinal fundus images. Our DNN model is based on modifications to Anam-Net, incorporating an anamorphic depth embedding block. To reduce computational complexity, we employ a fixed filter size for all convolution layers… More >

  • Open Access

    ARTICLE

    Soft Computing Based Discriminator Model for Glaucoma Diagnosis

    Anisha Rebinth1,*, S. Mohan Kumar2

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 867-880, 2022, DOI:10.32604/csse.2022.022955

    Abstract In this study, a Discriminator Model for Glaucoma Diagnosis (DMGD) using soft computing techniques is presented. As the biomedical images such as fundus images are often acquired in high resolution, the Region of Interest (ROI) for glaucoma diagnosis must be selected at first to reduce the complexity of any system. The DMGD system uses a series of pre-processing; initial cropping by the green channel’s intensity, Spatially Weighted Fuzzy C Means (SWFCM), blood vessel detection and removal by Gaussian Derivative Filters (GDF) and inpainting algorithms. Once the ROI has been selected, the numerical features such as More >

  • Open Access

    ABSTRACT

    Relations between optical nerve damage, intrCular pressure and in vivo ocular tissue properties monitoring strategies for glaucoma diagnosis and prevention

    David CC LAM*, Leo K-K LEUNG, Match W-L KO, R. G-Z CHEN, I-S CHAN

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.20, No.3, pp. 85-86, 2011, DOI:10.3970/icces.2011.020.085

    Abstract The eye is a biomechanical organ where the health of the optical nerves and vision are affected by the intrCular pressure and the ocular tissue structure. The ocular pressure is the primary parameter monitored by opticians and ophthalmologists to determine the ocular health of the eye to prevent glaucoma where 50% of the vision can be lost before detection by the patient. Elevated intrCular pressure is clinically correlated with the degeneration of the optic nerves, but the biomechanical mechanism for the degeneration remains speculative. In this study, we present the results from biomechanical modeling of More >

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