Results 71 to 80 of about 220,110 (307)

Brain Tumor Detection Using Gray Level Co-Occurrence Matrix Feature Extraction Technique [PDF]

open access: yes, 2021
From each and every passing year, the world has always witnessed a rise in the number of cases of brain tumor. Brain tumor classification and detection is that the most critical and strenuous task within the field of medical image processing while human aided manual detection leads to imperfect divination and diagnosing.
SheelaS   +3 more
openaire   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +1 more source

Gray level co-occurrence matrix feature extraction and histogram in breast cancer classification with ultrasonographic imagery

open access: yes, 2021
One way to detect breast cancer is using the Ultrasonography (USG) procedure, but the ultrasound image is susceptible to the noise speckles so that the interpretation and diagnosis results are different.
Karina Djunaidi   +3 more
semanticscholar   +1 more source

Ekstraksi Ciri Citra Batik Berdasarkan Tekstur Menggunakan Metode Gray Level Co Occurrence Matrix [PDF]

open access: yes, 2016
Batik Pekalongan adalah salah satu kekayaan intelektual dan kebudayaan yang dimiliki oleh Indonesia yang harus dilestarikan dan dilindungi salah satunya dengan pendataan secara komputerisasi berupa pengenalan pola.
Surya, R. A. (Rizky)
core  

GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures

open access: yes, 2011
Chi-square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by human vision system is based on second-order statistics, we make use of ...
Asha, V.   +2 more
core   +1 more source

Texture classification using discrete Tchebichef moments [PDF]

open access: yes, 2013
In this paper, a method to characterize texture images based on discrete Tchebichef moments is presented. A global signature vector is derived from the moment matrix by taking into account both the magnitudes of the moments and their order.
Cristóbal, Gabriel, Marcos, J. V.
core   +3 more sources

Interaction between Molten Al‐Killed Mn–B Steel and Carbon‐Bonded MgO Refractories Based on Recyclates

open access: yesAdvanced Engineering Materials, EarlyView.
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé   +5 more
wiley   +1 more source

KLASIFIKASI JENIS IKAN KOI MENGUNAKAN GRAY LEVEL CO-OCCURRENCE MATRIX DAN ALGORITMA NAIVE BAYES [PDF]

open access: yes, 2016
Indonesia merupakan negara kepulauan sehingga mempunyai wilayah laut yang luas, luasnya wilayah perairan di Indonesia menjadi salah satu faktor majunya komoditas ikan salah satunya ikan hias.
TRI, ATMAJI ADHI
core  

EBSD Study of Creep‐Induced Lattice Misorientation in MgO‐Particle‐Reinforced Austenitic Steel Composites

open access: yesAdvanced Engineering Materials, EarlyView.
Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller   +6 more
wiley   +1 more source

An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering

open access: yesSensors, 2023
Brain tumors in Magnetic resonance image segmentation is challenging research. With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world.
Surjeet Dalal   +9 more
doaj   +1 more source

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