Results 21 to 30 of about 220,110 (307)

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

Implementasi Metode Gray Level Co-occurrence Matrix dalam Identifikasi Jenis Daun Tengkawang

Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2018
Tengkawang or known as Borneo tallow nut is now difficult to find due to unsustainable forestry practices and high levels of forest destruction. The method used in this research was pattern recognition.
Rahmat Robi Waliyansyah, Kusworo Adi, Jatmiko Endor Suseno   +2 more
doaj   +3 more sources

Histogram and gray level co-occurrence matrix on gray-scale ultrasound images for diagnosing lymphocytic thyroiditis

Computers in Biology and Medicine, 2016
The objective of the study was to evaluate whether texture analysis using histogram and gray level co-occurrence matrix (GLCM) parameters can help clinicians diagnose lymphocytic thyroiditis (LT) and differentiate LT according to pathologic grade. The background thyroid pathology of 441 patients was classified into no evidence of LT, chronic LT (CLT ...
Young Gyung, Shin, Jaeheung, Yoo, Hyeong Ju, Kwon, Jung Hwa, Hong, Hye Sun, Lee, Jung Hyun, Yoon, Eun-Kyung, Kim, Hee Jung, Moon, Kyunghwa, Han, Jin Young, Kwak   +9 more
openaire   +5 more sources

Ensemble Discrete Wavelet Transform and Gray-Level Co-Occurrence Matrix for Microcalcification Cluster Classification in Digital Mammography

Applied Sciences (Switzerland), 2019
The presence of clusters of microcalcifications is a primary sign of breast cancer. Their identification is still difficult today for radiologists, and the wrong evaluations involve unnecessary biopsies.
A. Fanizzi, T. Basile, L. Losurdo, R. Bellotti, U. Bottigli, F. Campobasso, V. Didonna, A. Fausto, R. Massafra, A. Tagliafico, P. Tamborra, S. Tangaro, V. Lorusso, D. La Forgia   +13 more
semanticscholar   +3 more sources

Perbandingan Algoritma Decision Tree C4.5 Dan Naive Bayes pada Analisa Tekstur Gray Level Co-Occurrence Matrix Menggunakan Citra Wajah

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   +1 more source

Method for detecting texture defect of vacuum seal of transparent packaging bag based on machine vision

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, ZHOU Cong-ling, WANG Yong-qiang   +2 more
doaj   +1 more source

Gray Level Co-Occurrence Matrix, Fractal and Wavelet Analyses of Discrete Changes in Cell Nuclear Structure following Osmotic Stress: Focus on Machine Learning Methods

Fractal and Fractional, 2023
In this work, we demonstrate that it is possible to create supervised machine-learning models using a support vector machine and random forest algorithms to separate yeast cells exposed to hyperosmotic stress from intact cells. We performed fractal, gray
I. Pantić, Svetlana Valjarević, Jelena Cumic, Ivana Paunkovic, Tatjana Terzic, Peter R. Corridon   +5 more
semanticscholar   +1 more source

Lung Cancer Prediction Using Robust Machine Learning and Image Enhancement Methods on Extracted Gray-Level Co-Occurrence Matrix Features

Applied Sciences, 2022
In the present era, cancer is the leading cause of demise in both men and women worldwide, with low survival rates due to inefficient diagnostic techniques. Recently, researchers have been devising methods to improve prediction performance.
Lal Hussain, Hadeel Alsolai, Siwar Ben Haj Hassine, Mohamed K. Nour, M. A. Duhayyim, A. Hilal, Ahmed S. Salama, Abdelwahed Motwakel, Ishfaq Yaseen, Mohammed Rizwanullah   +9 more
semanticscholar   +1 more source

Identification of Anthracnose Disease in Mango Plant Using Clustering and Gray level Co- occurrence Matrix [PDF]

ITM Web of Conferences, 2020
The aim of this paper is to help farmers to identify disease without observing each and every mango plant by eyes. Farmers can use the pesticides according to the leaf disease identified.
Gawand Mamata, Gowda Soumya, Hnade Sonali, Mahadik Pooja, Dere Prajakta   +4 more
doaj   +1 more source

Detection of oil spills based on gray level co-occurrence matrix and support vector machine

Frontiers in Environmental Science, 2022
Accurate reconnaissance of Marine oil spill is very important for emergency management of Marine oil spill accidents. Unmanned aerial vehicles (UAV) is a suitable carrier for offshore oil spill reconnaissance because of its fast deployment speed and low ...
Kai Li, Hongliang Yu, Yiqun Xu, Xiaoqing Luo   +3 more
semanticscholar   +1 more source