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  1. 1

    Enhanced Multilinear PCA for Efficient Image Analysis and Dimensionality Reduction: Unlocking the Potential of Complex Image Data by Tianyu Sun, Lang He, Xi Fang, Liang Xie

    Published 2025-02-01
    “…This paper presents an Enhanced Multilinear Principal Component Analysis (EMPCA) algorithm, an improved variant of the traditional Multilinear Principal Component Analysis (MPCA) tailored for efficient dimensionality reduction in high-dimensional data, particularly in image analysis tasks. …”
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    Deep Learning-Based Layout Analysis Method for Complex Layout Image Elements by Yunfei Zhong, Yumei Pu, Xiaoxuan Li, Wenxuan Zhou, Hongjian He, Yuyang Chen, Lang Zhong, Danfei Liu

    Published 2025-07-01
    “…To address this problem, this paper proposes a method for analyzing the layout of complex layout image elements based on the improved DeepLabv3++ model. …”
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    New Technologies and Specialist Competencies in the Complex Study of Digital Images of a Person’s Appearance by V. A. Gazizov, I. N. Podvolotskiy

    Published 2024-04-01
    “…They have also studied the particularities of specialists’ interaction in the field of digital image analysis. The need to supplement the methodology with biometric and intelligent technologies is specifically noted. …”
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    Despeckle Filtering for Multiscale Amplitude-Modulation Frequency-Modulation (AM-FM) Texture Analysis of Ultrasound Images of the Intima-Media Complex by C. P. Loizou, V. Murray, M. S. Pattichis, M. Pantziaris, A. N. Nicolaides, C. S. Pattichis

    Published 2014-01-01
    “…Clearly though texture analysis of ultrasound images can be greatly affected by speckle noise, our goal here is to develop effective despeckle noise methods that can recover image texture associated with increased rates of atherosclerosis disease. …”
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    Age and gender-related changes in choroidal thickness: Insights from deep learning analysis of swept-source OCT images by Dan Song, Guanzheng Wang, Guangfeng Liu, Chengxia Zhang, Bin Lv, Yuan Ni, Guotong Xie

    Published 2025-04-01
    “…Objective: This study aims to investigate age- and gender-related changes in CT and its components through deep learning analysis of swept-source optical coherence tomography (SS-OCT) images. …”
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    Characterization of the Pore Network of a Cohesive Oxisol Through Morphological and Pore Complexity Analyses by Jocenei A. T. de Oliveira, Thaís N. Pessoa, José V. Gaspareto, Adolfo N. D. Posadas, André L. F. Lourenço, Paulo L. Libardi, Luiz F. Pires

    Published 2025-01-01
    “…Our study aimed to provide a detailed analysis of the pore complexity of the cohesive horizon of a Brazilian Oxisol using 3D images (volumetric data reconstructed by 2D CT slices) and to correlate these parameters with soil physical–hydric attributes. …”
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