Results 191 to 200 of about 36,113 (246)

Three-dimensional quantitative evaluation of hypertension-induced aortic fibre remodelling based on multiphoton microscopy: a cross-age perspective. [PDF]

R Soc Open Sci
Wang N, Zhang R, Zhao A, Yu J, Gao Y, Sun X, Chen W, Xiao N, Xiang F, Zheng W, Lin Z, Li H.   +11 more
europepmc   +1 more source

Impact of image preprocessing methods on MRI radiomics feature variability and classification performance in Parkinson's disease motor subtype analysis. [PDF]

Sci Rep
Panahi M, Hosseini MS, Aghamiri SMR.
europepmc   +1 more source

Multimodal CT radiomics combined with machine learning algorithms to differentiate benign from malignant pulmonary nodules. [PDF]

Digit Health
Liu L, Xu J, Ji Y, Yan T, Pan H, Wang S, Shi Z, Li Y, Wang C, Zhang T.   +9 more
europepmc   +1 more source

Pericardial Fat Radiomics to Predict Left Ventricular Involvement and Provide Incremental Prognostic Value in ARVC. [PDF]

Diagnostics (Basel)
Guo M, Zheng J, Xie W, Chen B, An D, Shi R, Xiang J, Wu L.   +7 more
europepmc   +1 more source

OCT analysis of white clover leaves affected by regional ozone stress. [PDF]

Sci Rep
Goto H, Cadondon J, Galvez MC, Vallar E, Shiina T.   +4 more
europepmc   +1 more source

Diagnostics of diabetic retinopathy based on fundus photos using machine learning methods with advanced feature engineering algorithms. [PDF]

Sci Rep
Gandor M, Pałka F, Książek W, Pławiak P, Siedlecka A, Jeruzalski T, Olender-Skorek M, Jonak K, Rejdak R, Nowomiejska K, Matysik-Woźniak A, Teus M, Sanchez CA, Sylwestrzak M.   +13 more
europepmc   +1 more source

Использование алгоритма GLCM для проведения классификации изображений

, 2016
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MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification

Computerized Medical Imaging and Graphics, 2023
Distinguishing malignant from benign lesions has significant clinical impacts on both early detection and optimal management of those early detections. Convolutional neural network (CNN) has shown great potential in medical imaging applications due to its powerful feature learning capability.
Shu, Zhang, Jinru, Wu, Enze, Shi, Sigang, Yu, Yongfeng, Gao, Lihong Connie, Li, Licheng Ryan, Kuo, Marc Jason, Pomeroy, Zhengrong Jerome, Liang   +8 more
openaire   +3 more sources

FuzzyNet: Medical Image Classification based on GLCM Texture Feature

Artificial Intelligence and Symbolic Computation, 2023
In recent study has found that high-precision monitoring, big data, and medical diagnosis continue to be hampered by transit delays. We designed and implemented an unique fuzzy logic-based method to help with this problem.
Vipul Narayan, P. Mall, Shashank Awasthi, Swapnita Srivastava, Anurag Gupta   +4 more
semanticscholar   +1 more source

GLCM: Global–Local Captioning Model for Remote Sensing Image Captioning

IEEE Transactions on Cybernetics, 2022
Remote sensing image captioning (RSIC), which describes a remote sensing image with a semantically related sentence, has been a cross-modal challenge between computer vision and natural language processing.
Qi Wang, Wei Huang, Xueting Zhang, Xuelong Li   +3 more
semanticscholar   +1 more source