Showing 2,921 - 2,940 results of 20,631 for search '"Image"', query time: 0.12s Refine Results
  1. 2921

    Application of Multiprotocol Medical Imaging Communications and an Extended DICOM WADO Service in a Teleradiology Architecture by George V. Koutelakis, George K. Anastassopoulos, Dimitrios K. Lymberopoulos

    Published 2012-01-01
    “…Multiprotocol medical imaging communication through the Internet is more flexible than the tight DICOM transfers. …”
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    Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images by Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

    Published 2025-01-01
    “…Early detection is crucial, and the manual screening method may lead to a delayed diagnosis, which would delay treatment and put lives at risk. Mammography imaging is advised for routine screening to diagnose breast cancer at an early stage. …”
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  10. 2930

    Image Digitization of Colorimetric Detection of Acephate Based on Its Complexation with Citrate-Capped Gold Nanoparticles by Mohd Junaedy Osman, Wan Md Zin Wan Yunus, Keat Khim Ong, Buong Woei Chieng, Noor Azilah Mohd Kassim, Siti Aminah Mohd Noor, Victor Feizal Knight, Jahwarhar Izuan Abd Rashid, Chin Chuang Teoh

    Published 2020-01-01
    “…This paper describes the use of an image processing technique to digitize the red values (RVs) of the colour image of Ac-capped gold nanoparticles (Ac-Cit-AuNPs) complex captured using a digital microscope to improve the detection accuracy and precision. …”
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  11. 2931

    Indentation measurement of thin plates using 3D digital image correlation and experimental validation by Juan-Antonio Almazán-Lázaro, Elías López-Alba, Francisco-Alberto Díaz-Garrido

    Published 2025-03-01
    “…Full field and non-contact methods are becoming increasingly useful to get accurate measurements of displacements in many recent research fields and industries. 3D Digital Image Correlation (3D-DIC) is one of these powerful tools, which is capable of performing out-of-plane measurements.The purpose of this work is to investigate a novel method for measuring the indentation response of materials, indirectly by applying 3D-DIC to the opposite contacted side of the area of interest. …”
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    Pneumonia detection from X-ray images using federated learning–An unsupervised learning approach by Neeta Rana, Hitesh Marwaha

    Published 2025-02-01
    “…The datasets used to train the proposed model consist of chest X-ray images of pneumonia patients and healthy individuals. …”
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    Design of a mammography X-ray image classification assistant system adapted to Chinese population by SUN Changjin, TONG Fei, WU Yi

    Published 2025-01-01
    “…Methods‍ ‍Curated breast imaging subset of digital database for screening mammography (CBIS-DDSM), Mammographic image analysis society database (MIAS) and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature. …”
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  17. 2937

    Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method by Yenni Astuti, Sudaryanto Sudaryanto, Indah Dwi Ariyanti

    Published 2024-12-01
    “…In this research, hand gestures are recognized using images that represent pitch, roll, and yaw movement. …”
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    Experimental assessment of the informativity of signs in the analysis of 2d images of bone objects in forensic examination. by A. A. Doudkin, A. A. Voronov, V. V. Ganchenko, E. E. Marushko, L. P. Podenok, A. V. Inyutin

    Published 2022-12-01
    “…As parameters, the textural characteristics of Haralick, local binary patterns of pixels for 2D images, Gabor filters, Laws energy texture characteristics for 2D images are considered. …”
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  20. 2940

    A multi-stage deep learning network toward multi-classification of polyps in colorectal images by Shilong Chang, Kun Yang, Yucheng Wang, Yufeng Sun, Chaoyi Qi, Wenlong Fan, Ying Zhang, Shuang Liu, Wenshan Gao, Jie Meng, Linyan Xue

    Published 2025-04-01
    “…To train and validate our proposed network, we curated a dataset consisting of 2568 white light endoscopic images. Facing a significant class imbalance, particularly in the underrepresented categories of villous and serrated adenomas, we employed Generative Adversarial Network Augmentation (GAN-Aug) to synthesize additional images, thereby ensuring a more balanced dataset for training. …”
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