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 +3 more sources
Gray level co-occurrence matrix and wavelet analyses reveal discrete changes in proximal tubule cell nuclei after mild acute kidney injury. [PDF]
Sci Rep, 2023 Acute kidney injury (AKI) relates to an abrupt reduction in renal function resulting from numerous conditions. Morbidity, mortality, and treatment costs related to AKI are relatively high.
Pantic I +4 more
europepmc +2 more sources
Quantitative Assessment of Hyperpigmentation Changes in Human Skin after Microneedle Mesotherapy Using the Gray-Level Co-Occurrence Matrix (GLCM) Method. [PDF]
J Clin Med, 2023 Aim: The aim of the study was to quantitatively assess the effectiveness of microneedle mesotherapy in reducing skin discoloration. The results were analyzed using the gray-level co-occurrence matrix (GLCM) method.
Wawrzyk-Bochenek I +3 more
europepmc +2 more sources
Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix. [PDF]
PLoS One, 2022 Breast cancer is regarded as the leading killer of women today. The early diagnosis and treatment of breast cancer is the key to improving the survival rate of patients.
Hao Y +8 more
europepmc +2 more sources
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms. [PDF]
PeerJ Comput Sci, 2021 Crop classification in early phenological stages has been a difficult task due to spectrum similarity of different crops. For this purpose, low altitude platforms such as drones have great potential to provide high resolution optical imagery where ...
Iqbal N, Mumtaz R, Shafi U, Zaidi SMH.
europepmc +2 more sources
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. The process is time-consuming and subjective.
Hum, Yan Chai +5 more
openaire +5 more sources
Analysis of Vascular Architecture and Parenchymal Damage Generated by Reduced Blood Perfusion in Decellularized Porcine Kidneys Using a Gray Level Co-occurrence Matrix. [PDF]
Front Cardiovasc Med, 2022 There is no cure for kidney failure, but a bioartificial kidney may help address this global problem. Decellularization provides a promising platform to generate transplantable organs.
Pantic IV +3 more
europepmc +2 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
Feature extraction and classification of surface discharges on an ice-covered insulator string during AC flashover using gray-level co-occurrence matrix. [PDF]
Sci Rep, 2021 This study focuses on the feature extraction and classification of surface discharges of ice-covered insulator strings during process of alternating current flashover.
Liu Y, Li Q, Du B, Farzaneh M.
europepmc +2 more sources