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
doaj +4 more sources
Gray level co-occurrence matrix and extreme learning machine for Alzheimer's disease diagnosis
International Journal of Cognitive Computing in Engineering, 2021 Alzheimer's disease (AD) is a chronic neurodegenerative disease, which is one of the biggest challenges in geriatrics. The global incidence of Alzheimer's disease has been on the rise all the time.
Shuangshuang Gao
doaj +4 more sources
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
doaj +5 more sources
Perbandingan Algoritma Decision Tree C4.5 Dan Naive Bayes pada Analisa Tekstur Gray Level Co-Occurrence Matrix Menggunakan Citra Wajah [PDF]
Sistemasi: Jurnal Sistem Informasi, 2021 Abstrak Analisis tekstur lazim dimanfaatkan sebagai proses untuk melakukan klasifikasi dan interpretasi citra. Suatu proses klasifikasi citra berbasis analisa tekstur pada umumnya membutuhkan tahapan ekstraksi ciri, yang terdiri dari tiga macam metode ...
Hamdun Sulaiman
doaj +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm. [PDF]
Sensors (Basel), 2017 Zhang X, Cui J, Wang W, Lin C.
europepmc +2 more sources
Shipin yu jixie, 2023 Objective: To solve the problems caused by the manual sampling inspection in the field of food packaging, such as difficult to operate continuously for a long time, easy to miss and wrong detection, and unreliable detection accuracy and stability ...
ZHANG Bao-sheng +2 more
doaj +1 more source
Pengenalan Ras Berdasarkan Hidung Dan Mulut Menggunakan Gray Level Co-Occurrence Matrix
Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Ras dapat digunakan untuk mengkategorikan manusia dalam populasi atau kelompok besar. Oleh karena itu, pengenalan ras dapat berguna untuk mempermudah dalam mengidentifikasi seseorang dan membantu dalam mempersempit lingkup pencarian.
Ema Rachmawati +2 more
doaj +1 more source