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Journal of Imaging, Volume 4, Issue 7

2018 July - 13 articles

Cover Story: The automated detection of glomeruli in the Whole Slide Image (WSI) of kidney specimens is an important step toward computerized image analysis in the field of renal pathology. This paper describes an approach that combines a sliding window with Faster R-CNN for the fully automated detection of glomeruli with multistained, human WSIs. The evaluation results on a dataset consisting of more than 33,000 annotated glomeruli obtained from 800 WSIs showed the approach produces comparable or higher F-measures with different stains compared with other recently published approaches. View the paper here.
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Articles (13)

  • Article
  • Open Access
44 Citations
6,484 Views
17 Pages

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification

  • Ioannis E. Livieris,
  • Andreas Kanavos,
  • Vassilis Tampakas and
  • Panagiotis Pintelas

A critical component in the computer-aided medical diagnosis of digital chest X-rays is the automatic detection of lung abnormalities, since the effective identification at an initial stage constitutes a significant and crucial factor in patient&rsqu...

  • Article
  • Open Access
4 Citations
7,909 Views
10 Pages

ECG Electrode Placements for Magnetohydrodynamic Voltage Suppression

  • T. Stan Gregory,
  • John N. Oshinski and
  • Zion Tsz Ho Tse

This study aims to investigate a set of electrocardiogram (ECG) electrode lead locations to improve the quality of four-lead ECG signals acquired during magnetic resonance imaging (MRI). This was achieved by identifying electrode placements that mini...

  • Article
  • Open Access
23 Citations
9,191 Views
28 Pages

Background Subtraction Based on a New Fuzzy Mixture of Gaussians for Moving Object Detection

  • Ali Darwich,
  • Pierre-Alexandre Hébert,
  • André Bigand and
  • Yasser Mohanna

Moving foreground detection is a very important step for many applications such as human behavior analysis for visual surveillance, model-based action recognition, road traffic monitoring, etc. Background subtraction is a very popular approach, but i...

  • Article
  • Open Access
70 Citations
11,570 Views
19 Pages

Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images

  • Yoshimasa Kawazoe,
  • Kiminori Shimamoto,
  • Ryohei Yamaguchi,
  • Yukako Shintani-Domoto,
  • Hiroshi Uozaki,
  • Masashi Fukayama and
  • Kazuhiko Ohe

The detection of objects of interest in high-resolution digital pathological images is a key part of diagnosis and is a labor-intensive task for pathologists. In this paper, we describe a Faster R-CNN-based approach for the detection of glomeruli in...

  • Article
  • Open Access
15 Citations
7,842 Views
23 Pages

Compressive Online Video Background–Foreground Separation Using Multiple Prior Information and Optical Flow

  • Srivatsa Prativadibhayankaram,
  • Huynh Van Luong,
  • Thanh Ha Le and
  • André Kaup

In the context of video background–foreground separation, we propose a compressive online Robust Principal Component Analysis (RPCA) with optical flow that separates recursively a sequence of video frames into foreground (sparse) and background...

  • Article
  • Open Access
58 Citations
20,760 Views
34 Pages

Digital Comics Image Indexing Based on Deep Learning

  • Nhu-Van Nguyen,
  • Christophe Rigaud and
  • Jean-Christophe Burie

The digital comic book market is growing every year now, mixing digitized and digital-born comics. Digitized comics suffer from a limited automatic content understanding which restricts online content search and reading applications. This study shows...

  • Article
  • Open Access
39 Citations
11,318 Views
21 Pages

Scanning electron microscopy is widespread in field of material science and research, especially because of its high surface sensitivity due to the increased interactions of electrons with the target material’s atoms compared to X-ray-oriented...

  • Article
  • Open Access
45 Citations
14,701 Views
19 Pages

A Survey of Comics Research in Computer Science

  • Olivier Augereau,
  • Motoi Iwata and
  • Koichi Kise

Graphic novels such as comic books and mangas are well known all over the world. The digital transition started to change the way people are reading comics: more and more on smartphones and tablets, and less and less on paper. In recent years, a wide...

  • Article
  • Open Access
22 Citations
6,048 Views
22 Pages

LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation

  • Benjamin Laugraud,
  • Sébastien Piérard and
  • Marc Van Droogenbroeck

Given a video sequence acquired from a fixed camera, the stationary background generation problem consists of generating a unique image estimating the stationary background of the sequence. During the IEEE Scene Background Modeling Contest (SBMC) org...

  • Article
  • Open Access
9 Citations
6,561 Views
28 Pages

This paper presents an overview of coding methods used to encode a set of covariance matrices. Starting from a Gaussian mixture model (GMM) adapted to the Log-Euclidean (LE) or affine invariant Riemannian metric, we propose a Fisher Vector (FV) descr...

  • Article
  • Open Access
19 Citations
7,285 Views
16 Pages

Evaluation of 3D/2D Imaging and Image Processing Techniques for the Monitoring of Seed Imbibition

  • Etienne Belin,
  • Clément Douarre,
  • Nicolas Gillard,
  • Florence Franconi,
  • Julio Rojas-Varela,
  • François Chapeau-Blondeau,
  • Didier Demilly,
  • Jérôme Adrien,
  • Eric Maire and
  • David Rousseau

Seed imbibition is a very important process in plant biology by which, thanks to a simple water income, a dry seed may turn into a developing organism. In natural conditions, this process occurs in the soil, e.g., with difficult access for a direct o...

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J. Imaging - ISSN 2313-433X