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Journal of Imaging, Volume 10, Issue 12

December 2024 - 39 articles

Cover Story: This article presents a novel computational framework that addresses a fundamental challenge in geohazard assessment: determining landslide thickness from satellite-derived elevation data. By combining mass conservation principles with sophisticated regularization techniques, our method converts surface measurements into meaningful subsurface information. The accompanying images show its application to the Fels landslide in Alaska, demonstrating how modern imaging techniques and mathematical algorithms can work together to solve complex geological problems. This development represents a significant step forward in the field of quantitative image analysis for natural hazard assessment, offering new possibilities for understanding landslide mechanics through non-invasive observations. View this paper
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Articles (39)

  • Article
  • Open Access
1 Citations
2,314 Views
13 Pages

Volumetric Humeral Canal Fill Ratio Effects Primary Stability and Cortical Bone Loading in Short and Standard Stem Reverse Shoulder Arthroplasty: A Biomechanical and Computational Study

  • Daniel Ritter,
  • Patric Raiss,
  • Patrick J. Denard,
  • Brian C. Werner,
  • Peter E. Müller,
  • Matthias Woiczinski,
  • Coen A. Wijdicks and
  • Samuel Bachmaier

23 December 2024

Objective: This study evaluated the effect of three-dimensional (3D) volumetric humeral canal fill ratios (VFR) of reverse shoulder arthroplasty (RSA) short and standard stems on biomechanical stability and bone deformations in the proximal humerus....

  • Article
  • Open Access
4 Citations
2,199 Views
20 Pages

Deep Learning-Based Diagnosis Algorithm for Alzheimer’s Disease

  • Zhenhao Jin,
  • Junjie Gong,
  • Minghui Deng,
  • Piaoyi Zheng and
  • Guiping Li

23 December 2024

Alzheimer’s disease (AD), a degenerative condition affecting the central nervous system, has witnessed a notable rise in prevalence along with the increasing aging population. In recent years, the integration of cutting-edge medical imaging technolog...

  • Article
  • Open Access
9 Citations
7,104 Views
26 Pages

Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning

  • Syed Adil Hussain Shah,
  • Syed Taimoor Hussain Shah,
  • Roa’a Khaled,
  • Andrea Buccoliero,
  • Syed Baqir Hussain Shah,
  • Angelo Di Terlizzi,
  • Giacomo Di Benedetto and
  • Marco Agostino Deriu

22 December 2024

Skin cancer is among the most prevalent cancers globally, emphasizing the need for early detection and accurate diagnosis to improve outcomes. Traditional diagnostic methods, based on visual examination, are subjective, time-intensive, and require sp...

  • Article
  • Open Access
1 Citations
2,592 Views
18 Pages

Arbitrary Optics for Gaussian Splatting Using Space Warping

  • Jakob Nazarenus,
  • Simin Kou,
  • Fang-Lue Zhang and
  • Reinhard Koch

22 December 2024

Due to recent advances in 3D reconstruction from RGB images, it is now possible to create photorealistic representations of real-world scenes that only require minutes to be reconstructed and can be rendered in real time. In particular, 3D Gaussian s...

  • Article
  • Open Access
1 Citations
2,323 Views
13 Pages

Towards Robust Supervised Pectoral Muscle Segmentation in Mammography Images

  • Parvaneh Aliniya,
  • Mircea Nicolescu,
  • Monica Nicolescu and
  • George Bebis

22 December 2024

Mammography images are the most commonly used tool for breast cancer screening. The presence of pectoral muscle in images for the mediolateral oblique view makes designing a robust automated breast cancer detection system more challenging. Most of th...

  • Article
  • Open Access
6 Citations
4,033 Views
23 Pages

The Use of Hybrid CNN-RNN Deep Learning Models to Discriminate Tumor Tissue in Dynamic Breast Thermography

  • Andrés Munguía-Siu,
  • Irene Vergara and
  • Juan Horacio Espinoza-Rodríguez

21 December 2024

Breast cancer is one of the leading causes of death for women worldwide, and early detection can help reduce the death rate. Infrared thermography has gained popularity as a non-invasive and rapid method for detecting this pathology and can be furthe...

  • Article
  • Open Access
2 Citations
1,871 Views
15 Pages

X-Ray Image-Based Real-Time COVID-19 Diagnosis Using Deep Neural Networks (CXR-DNNs)

  • Ali Yousuf Khan,
  • Miguel-Angel Luque-Nieto,
  • Muhammad Imran Saleem and
  • Enrique Nava-Baro

19 December 2024

On 11 February 2020, the prevalent outbreak of COVID-19, a coronavirus illness, was declared a global pandemic. Since then, nearly seven million people have died and over 765 million confirmed cases of COVID-19 have been reported. The goal of this st...

  • Article
  • Open Access
2 Citations
2,473 Views
18 Pages

18 December 2024

Determining the maturity of cocoa pods early is not just about guaranteeing harvest quality and optimizing yield. It is also about efficient resource management. Rapid identification of the stage of maturity helps avoid losses linked to a premature o...

  • Review
  • Open Access
2 Citations
6,841 Views
38 Pages

18 December 2024

Computer vision-based gait recognition (CVGR) is a technology that has gained considerable attention in recent years due to its non-invasive, unobtrusive, and difficult-to-conceal nature. Beyond its applications in biometrics, CVGR holds significant...

  • Article
  • Open Access
2 Citations
1,857 Views
14 Pages

Point-Cloud Instance Segmentation for Spinning Laser Sensors

  • Alvaro Casado-Coscolla,
  • Carlos Sanchez-Belenguer,
  • Erik Wolfart and
  • Vitor Sequeira

17 December 2024

In this paper, we face the point-cloud segmentation problem for spinning laser sensors from a deep-learning (DL) perspective. Since the sensors natively provide their measurements in a 2D grid, we directly use state-of-the-art models designed for vis...

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J. Imaging - ISSN 2313-433X