Results 91 to 100 of about 36,113 (246)

A Hybrid Deep Learning Approach for Texture Analysis

, 2017
Texture classification is a problem that has various applications such as remote sensing and forest species recognition. Solutions tend to be custom fit to the dataset used but fails to generalize.
Adly, Hussein, Moustafa, Mohamed
core   +1 more source

Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps [PDF]

, 2017
© 2017 The Author(s). This study evaluated, for the first time, the efficacy of quantitative ultrasound (QUS) spectral parametric maps in conjunction with texture-analysis techniques to differentiate non-invasively benign versus malignant breast lesions.
A Ahmed, A Heindl, A König, A Sadeghi-Naini, A Sadeghi-Naini, A Sadeghi-Naini, A Sadeghi-Naini, A Sadeghi-Naini, A Sadeghi-Naini, AV Alvarenga, B Sigel, D Sengupta, E Feleppa, EJ Feleppa, EJ Feleppa, EJ Feleppa, EJ Feleppa, EJ Feleppa, F Davnall, FL Lizzi, FL Lizzi, FLL Lizzi, H Tadayyon, H Tadayyon, H Tadayyon, H Tadayyon, J Mamou, JPB O’Connor, K Polyak, KA Wear, KA Wear, KC Balaji, L Sannachi, LX Yao, M Vaidya, MJ Gerdes, ML Oelze, ML Oelze, ML Oelze, ML Oelze, ML Oelze, N Duric, N Sannomiya, R Natrajan, RJ Lavarello, RL Siegel, RM Haralick, S Chicklore, S Tan, T Cover, T Noritomi, TJ Larkin, V Goh, Y Labyed, Y Labyed, Y-Y Liao   +55 more
core   +2 more sources

A Hybrid CNN-GLCM Classifier For Detection And Grade Classification Of Brain Tumor

Brain Imaging and Behavior, 2021
A supervised CNN Deep net classifier is proposed for the detection, classification and diagnosis of meningioma brain tumor using deep learning approach.
Akila Gurunathan, Batri Krishnan
semanticscholar   +1 more source

Hyperspectral Imaging Combined With Image Fusion Features and Machine Learning to Discriminate Different Origins, Grades, and Shelf‐Life of Oranges

Food Safety and Health, EarlyView.
This study verified that it is feasible to distinguish oranges of different origins, grades and shelf lives by using hyperspectral technology. It covers spectral, image and graph technologies, as well as machine learning and deep learning models. ABSTRACT This study reports the first application of hyperspectral feature fusion technology combined with ...
Honghui Xiao, Hao Hu, Hanyi Mei, Hao Deng, Yongzhi Zhang, Jing Nie, Hao Wu, Karyne M. Rogers, Yuwei Yuan, Chunlin Li   +9 more
wiley   +1 more source

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

International 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  

Evaluasi Ekstraksi Fitur GLCM dan LBP Menggunakan Multikernel SVM untuk Klasifikasi Batik

, 2021
Batik as one of Indonesia's cultural heritages has various types, motifs and colors. A batik may have almost the same motif with a different color or vice versa, therefore it requires a classification of batik motifs.
Pulung Nurtantio Andono, Eko Hari Rachmawanto   +1 more
semanticscholar   +1 more source

Integrating Clinical Features, Laboratory Biomarkers and Computed Tomography for the Discrimination of Non‐Small Cell Lung Cancer and Benign Pulmonary Diseases: A Clinical Prediction Model

Journal of Clinical Laboratory Analysis, EarlyView.
This study developed and validated a clinical prediction model to differentiate non‐small cell lung cancer (NSCLC) from benign pulmonary diseases using clinical features, laboratory biomarkers, and CT features. The model achieved an AUC‐ROC of 0.95 in the training set and 0.82 in the validation set, demonstrating reliable diagnostic performance and ...
Jie Zhang, Shui Liu, Mingjian Bai, Fucun Ma, Guowei Liang, Bing Wang   +5 more
wiley   +1 more source

The Implementation of GLCM and ANN Methods to Identify Dragon Fruit Maturity Level

Ilkom Jurnal Ilmiah, 2023
The identification of the maturity level of dragon fruit in this study was divided into two groups of ripeness: the unripe and the ripe. This study aims to classify the maturity level based on dragon fruit images using the feature extraction method, the ...
Muhammad Faisal, Maryam Hasan, Kartika Candra Pelangi   +2 more
doaj   +1 more source

Improved Stroke Detection at Early Stages Using Haar Wavelets and Laplacian Pyramid [PDF]

, 2014
Stroke merupakan pembunuh nomor tiga di dunia, namun hanya sedikit metode tentang deteksi dini. Oleh karena itu dibutuhkan metode untuk mendeteksi hal tersebut.
Ndung\u27u, M. (Michael), Tjandrasa, H. (Handayani)   +1 more
core   +3 more sources

Performance of GLCM Algorithm for Extracting Features to Differentiate Normal and Abnormal Brain Images

IOP Conference Series: Materials Science and Engineering, 2021
Brain cancer is a malignant brain tumor that can spread quickly to other parts of the brain and spine. However, not all tumors are malignant and can be treated before they become malignant.
Zul Indra, Y. Jusman
semanticscholar   +1 more source