Results 61 to 70 of about 22,865 (233)

Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix

open access: yesIlkom Jurnal Ilmiah, 2020
Tangerines are fruits that are rich in high vitamin C content. Every orchard owner always tries to improve the quality of their plantation. In the selection of tangerines to be classified as ripe or immature at harvest time, the garden planters are ...
Rahmat Karim Haba   +1 more
doaj   +1 more source

Integrating CT‐Based Radiomics Analysis With Serum CEA Level to Predict Neoadjuvant Chemoradiotherapy Response in Colorectal Cancer

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Response to neoadjuvant chemoradiotherapy (NACRT) in locally advanced colorectal cancer (CRC) varies widely, and accurately identifying poor responders is crucial for guiding timely treatment modification. This study aimed to develop an integrated predictive model combining radiomics derived from routine radiotherapy non‐contrast planning ...
Sin‐Hua Moi   +6 more
wiley   +1 more source

Fast GLCM and Gabor Filters for Texture Classification of Very High Resolution Remote Sensing Images

open access: yesInternational Journal of Information and Communication Technology Research, 2015
In the present research we have used gray level co-occurrence matrices (GLCM) and Gabor filters to extract texture features in order to classify satellite images. The main drawback of GLCM algorithm is its time-consuming nature. In this work, we proposed
Fardin Mirzapour, Hassan Ghassemian
doaj  

Classification of  Intracranial Hemorrhage  CT images for Stroke Analysis with Transformed and Image-based GLCM  Features

open access: yes, 2022
Intracranial hemorrhage (ICH) is one of the severe types of brain stroke. Artery burst results in bleeding inside the brain and its surrounding tissue. Depending upon brain bleed location, hemorrhage gets classified.
Santwana S. Gudadhe, A. Thakare
semanticscholar   +1 more source

Divergent Blue Carbon Trajectories in the Yellow River Delta Post‐1976 Diversion: Hydrological Stability and Human Disturbance Contrasts Revealed by Multi‐Source Remote Sensing (1984–2023)

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Coastal wetlands are critical blue carbon sinks, yet their spatiotemporal dynamics under environmental change remain insufficiently quantified. Taking the Yellow River Delta (YRD) as a natural laboratory, this study synthesizes multi‐source remote sensing data, including optical and radar imagery spanning from 1984 to 2023, to explore the ...
Mengqian Jiang   +6 more
wiley   +1 more source

Classification of Coffee Bean Defects Using Gray-Level Co-Occurrence Matrix and K-Nearest Neighbor

open access: yesIlkom Jurnal Ilmiah, 2022
Defects in coffee beans can significantly affect the quality of coffee production so that defects in coffee beans can cause a decreasing the level of coffee production.
Mila Jumarlis   +2 more
doaj   +1 more source

Feature extraction Hue, Saturation, Value (HSV) and Gray Level Cooccurrence Matrix (GLCM) for identification of woven fabric motifs in South Central Timor Regency

open access: yesJournal of Physics, Conference Series, 2021
South Central Timor (TTS) is one of the districts that has a weaving culture and also produces woven cloth in East Nusa Tenggara. The many types of woven fabric from each TTS tribe makes outsiders and even native TTS people do not recognize the typical ...
F. S. Lesiangi, A. Mauko, B. S. Djahi
semanticscholar   +1 more source

A Brainstem Radiomics Framework to Distinguish Progressive Supranuclear Palsy from Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can be clinically challenging. In the neuroimaging field, radiomics has emerged as a promising approach to capture subtle microstructural and textural image alterations, improving differential diagnoses.
Chiara Camastra   +8 more
wiley   +1 more source

Using Decision Tree With First and Second-Order Statistical Feature Extraction for Classification of Lung Cancer

open access: yesIndonesian Journal of Applied Physics
The classification of CT-Scan images on images with lung cancer and normal lung has been done by improving the image quality of the median and Gabor filters, extraction of first and second-order statistical features, and decision tree classification. The
Mohtar Yunianto   +2 more
doaj   +1 more source

Identification of the freshness level of Tuna based on Discrete Cosine Transform on Feature Extraction of Gray Level Co-Occurrence Matrix using K-Nearest Neighbor

open access: yesIlkom Jurnal Ilmiah, 2023
Gorontalo Province is one of the provinces that have fishery potential and has a large sea area that can be managed to support the economy and development of the province.
Zulfrianto Yusrin Lamasigi   +2 more
doaj   +1 more source

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