Gray-level co-occurrence matrix bone fracture detection [PDF]
American Journal of Applied Sciences, 2011 Problem statement: Currently doctors in orthopedic wards inspect the bone x-ray images according to their experience and knowledge in bone fracture analysis. Manual examination of x-rays has multitude drawbacks.
Ariff, A. K. +5 more
core +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
doaj +4 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
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 +2 more sources
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
doaj +2 more sources
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
doaj +3 more sources
Identifikasi Kematangan Buah Apel Dengan Gray Level Co-Occurrence Matrix (GLCM)
Jurnal Saintekom, 2017 Digital image processing is part of the technological developments in the concepts and reasoning, the human wants the machine (computer) can recognize images like human vision.
Maura Widyaningsih
doaj +2 more sources
Pengenalan Ras Berdasarkan Hidung Dan Mulut Menggunakan Gray Level Co-Occurrence Matrix [PDF]
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 +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