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Journal of Imaging, Volume 9, Issue 10

October 2023 - 41 articles

Cover Story: Data augmentation is a fundamental machine learning technique that expands the size of training datasets. In recent years, the development of several libraries has simplified the utilization of diverse data augmentation strategies for different tasks. Through a curated taxonomy, we present an organized classification of the different approaches employed by these libraries for computer vision tasks. To ensure the accessibility of this valuable information, a dedicated public website named DALib has been created. By offering this comprehensive resource, we aim to empower practitioners and contribute to the advancement of computer vision research and applications through the effective utilization of data augmentation techniques. View this paper
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Articles (41)

  • Review
  • Open Access
10 Citations
3,812 Views
21 Pages

18F-FDG PET/MRI and 18F-FDG PET/CT for the Management of Gynecological Malignancies: A Comprehensive Review of the Literature

  • Leila Allahqoli,
  • Sevil Hakimi,
  • Antonio Simone Laganà,
  • Zohre Momenimovahed,
  • Afrooz Mazidimoradi,
  • Azam Rahmani,
  • Arezoo Fallahi,
  • Hamid Salehiniya,
  • Mohammad Matin Ghiasvand and
  • Ibrahim Alkatout

13 October 2023

Objective: Positron emission tomography with 2-deoxy-2-[fluorine-18] fluoro- D-glucose integrated with computed tomography (18F-FDG PET/CT) or magnetic resonance imaging (18F-FDG PET/MRI) has emerged as a promising tool for managing various types of...

  • Article
  • Open Access
2 Citations
3,333 Views
13 Pages

The Pattern of Metastatic Breast Cancer: A Prospective Head-to-Head Comparison of [18F]FDG-PET/CT and CE-CT

  • Rosa Gram-Nielsen,
  • Ivar Yannick Christensen,
  • Mohammad Naghavi-Behzad,
  • Sara Elisabeth Dahlsgaard-Wallenius,
  • Nick Møldrup Jakobsen,
  • Oke Gerke,
  • Jeanette Dupont Jensen,
  • Marianne Ewertz,
  • Malene Grubbe Hildebrandt and
  • Marianne Vogsen

12 October 2023

The study aimed to compare the metastatic pattern of breast cancer and the intermodality proportion of agreement between [18F]FDG-PET/CT and CE-CT. Women with metastatic breast cancer (MBC) were enrolled prospectively and underwent a combined [18F]FD...

  • Article
  • Open Access
6 Citations
3,496 Views
22 Pages

Exploring the Limitations of Hybrid Adiabatic Quantum Computing for Emission Tomography Reconstruction

  • Merlin A. Nau,
  • A. Hans Vija,
  • Wesley Gohn,
  • Maximilian P. Reymann and
  • Andreas K. Maier

11 October 2023

Our study explores the feasibility of quantum computing in emission tomography reconstruction, addressing a noisy ill-conditioned inverse problem. In current clinical practice, this is typically solved by iterative methods minimizing a L2 norm. After...

  • Article
  • Open Access
5 Citations
2,600 Views
20 Pages

11 October 2023

Introduction The diagnosis of glomerular diseases is primarily based on visual assessment of histologic patterns. Semi-quantitative scoring of active and chronic lesions is often required to assess individual characteristics of the disease. Reproduci...

  • Article
  • Open Access
17 Citations
3,564 Views
20 Pages

11 October 2023

Optical Coherence Tomography (OCT) is an imperative symptomatic tool empowering the diagnosis of retinal diseases and anomalies. The manual decision towards those anomalies by specialists is the norm, but its labor-intensive nature calls for more pro...

  • Article
  • Open Access
12 Citations
3,711 Views
19 Pages

Threshold-Based BRISQUE-Assisted Deep Learning for Enhancing Crack Detection in Concrete Structures

  • Sanjeetha Pennada,
  • Marcus Perry,
  • Jack McAlorum,
  • Hamish Dow and
  • Gordon Dobie

10 October 2023

Automated visual inspection has made significant advancements in the detection of cracks on the surfaces of concrete structures. However, low-quality images significantly affect the classification performance of convolutional neural networks (CNNs)....

  • Article
  • Open Access
11 Citations
3,719 Views
17 Pages

Make It Less Complex: Autoencoder for Speckle Noise Removal—Application to Breast and Lung Ultrasound

  • Duarte Oliveira-Saraiva,
  • João Mendes,
  • João Leote,
  • Filipe André Gonzalez,
  • Nuno Garcia,
  • Hugo Alexandre Ferreira and
  • Nuno Matela

10 October 2023

Ultrasound (US) imaging is used in the diagnosis and monitoring of COVID-19 and breast cancer. The presence of Speckle Noise (SN) is a downside to its usage since it decreases lesion conspicuity. Filters can be used to remove SN, but they involve tim...

  • Article
  • Open Access
38 Citations
10,183 Views
17 Pages

Real-Time Obstacle Detection with YOLOv8 in a WSN Using UAV Aerial Photography

  • Shakila Rahman,
  • Jahid Hasan Rony,
  • Jia Uddin and
  • Md Abdus Samad

10 October 2023

Nowadays, wireless sensor networks (WSNs) have a significant and long-lasting impact on numerous fields that affect all facets of our lives, including governmental, civil, and military applications. WSNs contain sensor nodes linked together via wirel...

  • Article
  • Open Access
8 Citations
3,850 Views
17 Pages

Comparative Analysis of Machine Learning Models for Image Detection of Colonic Polyps vs. Resected Polyps

  • Adriel Abraham,
  • Rejath Jose,
  • Jawad Ahmad,
  • Jai Joshi,
  • Thomas Jacob,
  • Aziz-ur-rahman Khalid,
  • Hassam Ali,
  • Pratik Patel,
  • Jaspreet Singh and
  • Milan Toma

9 October 2023

(1) Background: Colon polyps are common protrusions in the colon’s lumen, with potential risks of developing colorectal cancer. Early detection and intervention of these polyps are vital for reducing colorectal cancer incidence and mortality ra...

  • Article
  • Open Access
5 Citations
3,884 Views
15 Pages

Performance Comparison of Classical Methods and Neural Networks for Colour Correction

  • Abdullah Kucuk,
  • Graham D. Finlayson,
  • Rafal Mantiuk and
  • Maliha Ashraf

7 October 2023

Colour correction is the process of converting RAW RGB pixel values of digital cameras to a standard colour space such as CIE XYZ. A range of regression methods including linear, polynomial and root-polynomial least-squares have been deployed. Howeve...

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J. Imaging - ISSN 2313-433X