Results 101 to 110 of about 15,845 (235)

Development of a Risk Prediction Model for Bone Metastasis in Lung Adenocarcinoma With a T1 Primary Tumor Based on Intratumoral and Peritumoral Radiomics

open access: yesCancer Medicine, Volume 15, Issue 6, June 2026.
ABSTRACT Purpose Bone metastasis significantly affects the prognosis of lung adenocarcinoma (LUAD) patients. This study aims to construct and validate a risk prediction model for bone metastasis in LUAD with a T1 primary tumor based on intratumoral and peritumoral radiomics features.
Ting Li   +4 more
wiley   +1 more source

Results of the PCA of texture features based on GLCM.

open access: yes, 2013
Results of the PCA of texture features based on GLCM.
Qiang Tao (317861)   +3 more
core   +1 more source

In vivo skin capacitive imaging analysis by using grey level co-occurrence matrix (GLCM). [PDF]

open access: yes, 2013
We present our latest work on in vivo skin capacitive imaging analysis by using grey level co-occurrence matrix (GLCM). The in vivo skin capacitive images were taken by a capacitance based fingerprint sensor, the skin capacitive images were then analysed
Ou, X, Xiao, P, Pan, W
core   +1 more source

IDENTIFICATION OF POTATO LEAF DISEASES USING ARTIFICIAL NEURAL NETWORKS WITH EXTREME LEARNING MACHINE ALGORITHM

open access: yesPilar Nusa Mandiri
Potato plants have an important role in providing a source of carbohydrates for society. However, potato production is often threatened by various plant diseases, such as leaf disease, which can cause a decrease in yields.
Moh. Erkamim   +3 more
doaj   +1 more source

Advancing Canning Quality in Common Beans: An Integrated Farm‐to‐Can Framework Combining Breeding, Processing, and Artificial Intelligence

open access: yesLegume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Common beans (Phaseolus vulgaris L.) are essential raw material for the canning industry. This article reviews recent advances in assessing canning quality and the integration of artificial intelligence (AI) into breeding methodologies aimed at developing genotypes with superior yield and canning‐quality traits.
Arash Ghaitaranpour   +2 more
wiley   +1 more source

Enhancing Texture-Based Image Retrieval using GLCM and DBSCAN on a Multifaceted Dataset

open access: yes, 2023
Texture based image retrieval is an important aspect of various computer vision applications. In our research, we have proposed a method to enhance texture based image retrieval by utilizing Gray Level Co-occurrence Matrix (GLCM) feature extraction and ...
Asyhari, Muhammad Rivaldi
core  

Comparing Solar Structure Detection Methods in SDO/AIA Observations and the Application to Raw Uncalibrated Data

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Recent advances in solar physics increasingly rely on automated identification of coronal structures using machine learning. Yet most studies emphasize scientific performance without evaluating feasibility for onboard deployment to prioritize downlink observations.
P. Gonidakis   +11 more
wiley   +1 more source

Thangka Image Retrieval System Based on GLCM

open access: yesDEStech Transactions on Engineering and Technology Research, 2018
Thangka Image Retrieval System is a challenging task in Thangka image classification. The Thangka images obtained from different ways are not all true Thangka images, which may lead to the misclassification of Thangka images. Therefore, a retrieval system is needed to distinguish true and false Thangka images.
SHOU-LIANG TANG   +4 more
openaire   +2 more sources

Predicting Microbial Growth Dynamics in Commercial Cocoa‐Flavored Plant‐Based Milk Alternatives

open access: yesJournal of Food Science, Volume 91, Issue 6, June 2026.
ABSTRACT This study evaluated the growth of Bacillus cereus, Escherichia coli, and Salmonella Typhimurium in commercially available cocoa‐flavored plant‐based milk alternatives (PBMAs) under different temperatures and examined the influence of product composition on bacterial development.
Clara Mariana Gonçalves Lima   +4 more
wiley   +1 more source

Model performances for models trained on ADC, DCE(GLCM), DWI(GLCM), their combinations, all non-imaging data, and the combination of all MRI and all non-MRI data with 5-fold cross-validation.

open access: yes, 2023
Model performances for models trained on ADC, DCE(GLCM), DWI(GLCM), their combinations, all non-imaging data, and the combination of all MRI and all non-MRI data with 5-fold cross-validation.
Richard Adam (14439344)   +5 more
core   +1 more source

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