Identification of Human Ovarian Adenocarcinoma Cells with Cisplatin-Resistance by Feature Extraction of Gray Level Co-Occurrence Matrix Using Optical Images [PDF]
Diagnostics, 2020 Ovarian cancer is the most malignant of all gynecological cancers. A challenge that deteriorates with ovarian adenocarcinoma in neoplastic disease patients has been associated with the chemoresistance of cancer cells.
Chih-Ling Huang +4 more
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A Multichannel Gray Level Co-Occurrence Matrix for Multi/Hyperspectral Image Texture Representation [PDF]
Remote Sensing, 2014 This study proposes a novel method for multichannel image gray level co-occurrence matrix (GLCM) texture representation. It is well known that the standard procedure for the automatic extraction of GLCM textures is based on a mono-spectral image.
Xin Huang, Xiaobo Liu, Liangpei Zhang
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Intrusion Detection Based on Gray-Level Co-Occurrence Matrix and 2D Dispersion Entropy [PDF]
Applied Sciences, 2021 The Intrusion Detection System (IDS) is an important tool to mitigate cybersecurity threats in an Information and Communication Technology (ICT) infrastructure.
Gianmarco Baldini +2 more
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Gray level co-occurrence matrix and extreme learning machine for Covid-19 diagnosis [PDF]
International Journal of Cognitive Computing in Engineering, 2021 Background: Chest CT is considered to be a more accurate method for diagnosing suspected patients. However, with the spread of the epidemic, traditional diagnostic methods have been unable to meet the requirements of efficiency and speed.
Pengpeng Pi, Dimas Lima
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Gray level co-occurrence matrix and Schmitt neural network for Covid-19 diagnosis [PDF]
EAI Endorsed Transactions on e-Learning, 2021 INTRODUCTION: When COVID-19 spreads to most of the world, chest CT imaging is widely regarded as a convenient and feasible method for the diagnosis of suspected patients. In the traditional diagnosis method, doctors and experts judge these CT images and
Pengpeng Pi
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Machine Learning-Based Gray-Level Co-Occurrence Matrix (GLCM) Models for Predicting the Depth of Myometrial Invasion in Patients with Stage I Endometrial Cancer [PDF]
Cancer Management and Research, 2022 Li Qin,1 Lin Lai,2 Hongli Wang,3 Yukun Zhang,2 Xiaoyuan Qian4 *, Du He2 𪇞partment of Obstetrics and Gynecology, the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, 445000, People’s Republic of China; 2Department
Qin L +5 more
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Improving electrical resistivity tomography interpretation with Gray Level Co-Occurrence Matrix textural attributes [PDF]
Scientific ReportsElectrical resistivity tomography (ERT) provides valuable subsurface structural information but often relies on inverted resistivity thresholds for interpretation. Inversion inherently produces smooth boundaries that can lead to interpretation ambiguity,
John McKnight +2 more
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THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES. [PDF]
J Med Imaging Health Inform, 2016 In this paper, statistical methods for the estimation of bone quality to predict the risk of fracture are reported. Bone mineral density and bone architecture properties are the main contributors of bone quality. Dual-energy X-ray Absorptiometry (DXA) is the traditional clinical measurement technique for bone mineral density, but does not include ...
Shirvaikar M, Huang N, Dong XN.
europepmc +4 more sources
Jurnal Teknologi dan Sistem Komputer, 2018 Bamboo species can be identified from the bamboo leaf images. This study conducted the identification of bamboo species based on leaf texture using Gray Level Co-occurrence Matrix (GLCM) and Gray Level Run Length Matrix (GLRLM) for texture feature ...
Endina Putri Purwandari +2 more
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Evaluation of Gasket Surface Contact Stress Uniformity Based on Gray-Level Co-Occurrence Matrix
Applied Sciences, 2022 Due to the high demand for compression recovery tests of metal gaskets, it is difficult to provide and evaluate uniform stress on metal gaskets. To effectively evaluate the uniformity of surface stress on a metal gasket, we propose a method of evaluating
Jiayan Chen +3 more
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