Results 61 to 70 of about 26,874 (197)

Quantitative Ultrasound and B-mode Image Texture Features Correlate with Collagen and Myelin Content in Human Ulnar Nerve Fascicles [PDF]

, 2019
We investigate the usefulness of quantitative ultrasound (QUS) and B-mode texture features for characterization of ulnar nerve fascicles. Ultrasound data were acquired from cadaveric specimens using a nominal 30 MHz probe. Next, the nerves were extracted
Andre, Michael, Byra, Michal, Chang, Eric, Du, Jiang, Shah, Sameer, Wan, Lidi, Wong, Jonathan   +6 more
core   +1 more source

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

Archaeological Prospection, EarlyView.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski, Andrzej Pydyn, Mateusz Popek, Anna M. Kotarba‐Morley, Paweł Tysiąc   +4 more
wiley   +1 more source

Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model

, 2015
The aim of this study is to provide an automatic computational framework to assist clinicians in diagnosing Focal Liver Lesions (FLLs) in Contrast-Enhancement Ultrasound (CEUS). We represent FLLs in a CEUS video clip as an ensemble of Region-of-Interests
Cao, Qingxing, Huang, Rui, Liang, Xiaodan, Lin, Liang   +3 more
core   +1 more source

Dried biofluid droplet morphologies for automated and scalable disease classification

Droplet, EarlyView.
For the first time, disease‐specific fingerprints of diabetes and influenza are revealed from dried biofluid droplet morphologies. Using automated droplet detection, texture analysis, and interpretable machine learning, this scalable workflow transforms endpoint droplet patterns into diagnostic biomarkers for point‐of‐care healthcare applications ...
Anusuya Pal, Piyush Thakur, Amalesh Gope, Ryuta Uraki, Kawaoka Yoshihiro, Miho Yanagisawa   +5 more
wiley   +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

Thangka Image Retrieval System Based on GLCM

DEStech 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, JIAN-BANG JIA, CHUAN-QIAN TANG, XIAO-JING LIU, ZHI-QIANG LIU   +4 more
openaire   +2 more sources

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

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

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou, Xuechun Wang, Fen Ma, Xulun Liu, Chunyue Jiao, Zhen Kang, Jingjing Cui, Yang Zhang, Yan Xie, Lei Chen, Ronghua Tian   +10 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
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