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Journal of Imaging, Volume 8, Issue 7

July 2022 - 29 articles

Cover Story: The state of the art for examining lymph nodes in a lung cancer patient involves using an endobronchial ultrasound (EBUS) bronchoscope. New image-guided systems provide guidance for bronchoscope navigation but offer no assistance for guiding EBUS localization. We propose a method for registering a patient’s chest CT scan to live surgical EBUS views, thereby facilitating accurate image-guided EBUS bronchoscopy.  Patient results demonstrate the method’s effectiveness. We also demonstrate the method’s use in an image-guided system designed for guiding bronchoscope navigation and EBUS localization. View this paper
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Articles (29)

  • Article
  • Open Access
22 Citations
4,629 Views
16 Pages

Practical Application of Augmented/Mixed Reality Technologies in Surgery of Abdominal Cancer Patients

  • Vladimir M. Ivanov,
  • Anton M. Krivtsov,
  • Sergey V. Strelkov,
  • Anton Yu. Smirnov,
  • Roman Yu. Shipov,
  • Vladimir G. Grebenkov,
  • Valery N. Rumyantsev,
  • Igor S. Gheleznyak,
  • Dmitry A. Surov and
  • Michail S. Korzhuk
  • + 1 author

The technology of augmented and mixed reality (AR/MR) is useful in various areas of modern surgery. We considered the use of augmented and mixed reality technologies as a method of preoperative planning and intraoperative navigation in abdominal canc...

  • Article
  • Open Access
55 Citations
9,323 Views
17 Pages

The remote sensing surveillance of maritime areas represents an essential task for both security and environmental reasons. Recently, learning strategies belonging to the field of machine learning (ML) have become a niche of interest for the communit...

  • Article
  • Open Access
11 Citations
2,720 Views
18 Pages

Hyperspectral images (HSI) provide ample spectral information of land cover. The hybrid classification method works well for HSI; however, how to select the suitable similarity measures as kernels with the appropriate weights of hybrid classification...

  • Article
  • Open Access
20 Citations
8,460 Views
12 Pages

Document Liveness Challenge Dataset (DLC-2021)

  • Dmitry V. Polevoy,
  • Irina V. Sigareva,
  • Daria M. Ershova,
  • Vladimir V. Arlazarov,
  • Dmitry P. Nikolaev,
  • Zuheng Ming,
  • Muhammad Muzzamil Luqman and
  • Jean-Christophe Burie

Various government and commercial services, including, but not limited to, e-government, fintech, banking, and sharing economy services, widely use smartphones to simplify service access and user authorization. Many organizations involved in these ar...

  • Article
  • Open Access
56 Citations
4,902 Views
19 Pages

Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components

  • Yassir Bendou,
  • Yuqing Hu,
  • Raphael Lafargue,
  • Giulia Lioi,
  • Bastien Pasdeloup,
  • Stéphane Pateux and
  • Vincent Gripon

Few-shot classification aims at leveraging knowledge learned in a deep learning model, in order to obtain good classification performance on new problems, where only a few labeled samples per class are available. Recent years have seen a fair number...

  • Article
  • Open Access
5 Citations
2,445 Views
13 Pages

Learned optimization algorithms are promising approaches to inverse problems by leveraging advanced numerical optimization schemes and deep neural network techniques in machine learning. In this paper, we propose a novel deep neural network architect...

  • Article
  • Open Access
7 Citations
3,013 Views
15 Pages

U-Net-Based Segmentation of Microscopic Images of Colorants and Simplification of Labeling in the Learning Process

  • Ikumi Hirose,
  • Mari Tsunomura,
  • Masami Shishikura,
  • Toru Ishii,
  • Yuichiro Yoshimura,
  • Keiko Ogawa-Ochiai and
  • Norimichi Tsumura

Colored product textures correspond to particle size distributions. The microscopic images of colorants must be divided into regions to determine the particle size distribution. The conventional method used for this process involves manually dividing...

  • Article
  • Open Access
6 Citations
2,383 Views
14 Pages

In this paper, we propose a novel reversible data hiding in encrypted images (RDH-EI) method that achieves the highest hiding capacity in the RDH-EI research field and full flexibility in the processing order without restrictions. In the previous wor...

  • Article
  • Open Access
4 Citations
2,419 Views
10 Pages

Background: This study investigates the effects of vertical off-centring, localiser direction, tube voltage, and phantom positioning (supine and prone) on computed tomography (CT) numbers and radiation dose. Methods: An anthropomorphic phantom was sc...

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J. Imaging - ISSN 2313-433X