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Journal of Imaging, Volume 11, Issue 6

June 2025 - 34 articles

Cover Story: This study introduces a large, manually curated dataset of over 5,000 telescope images collected from amateur astronomers via an online community. Each image was meticulously filtered, annotated, and categorized into comets, galaxies, nebulae, and globular clusters, resulting in a robust resource for training deep learning models. Using this dataset, we conducted a comparative evaluation of different architectures, with a special focus on YOLO-based models, providing insights into their performance in real-world astronomical-object-detection scenarios. View this paper
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Articles (34)

  • Article
  • Open Access
1,920 Views
14 Pages

Optical Coherence Tomography (OCT) Findings in Post-COVID-19 Healthcare Workers

  • Sanela Sanja Burgić,
  • Mirko Resan,
  • Milka Mavija,
  • Saša Smoljanović Skočić,
  • Sanja Grgić,
  • Daliborka Tadić and
  • Bojan Pajic

Recent evidence suggests that SARS-CoV-2 may induce subtle anatomical changes in the retina, detectable through advanced imaging techniques. This retrospective case–control study utilized optical coherence tomography (OCT) to assess medium-term...

  • Article
  • Open Access
2,778 Views
28 Pages

Evaluating Features and Variations in Deepfake Videos Using the CoAtNet Model

  • Eman Alattas,
  • John Clark,
  • Arwa Al-Aama and
  • Salma Kammoun Jarraya

Deepfake video detection has emerged as a critical challenge in the realm of artificial intelligence, given its implications for misinformation and digital security. This study evaluates the generalisation capabilities of the CoAtNet model—a hy...

  • Article
  • Open Access
2,939 Views
25 Pages

Physically based realistic direct volume rendering (DVR) is a critical area of research in scientific data visualization. The prevailing realistic DVR methods are primarily rooted in outdated theories of participating media rendering and often lack c...

  • Article
  • Open Access
1 Citations
3,871 Views
21 Pages

Coronary artery disease (CAD) is a highly prevalent cardiovascular disease and one of the leading causes of death worldwide. The accurate segmentation of coronary arteries from CT angiography (CTA) images is essential for the diagnosis and treatment...

  • Article
  • Open Access
1,447 Views
17 Pages

Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning

  • Yixing Wu,
  • Alexander Shieh,
  • Steven Cen,
  • Darryl Hwang,
  • Xiaomeng Lei,
  • S. J. Pawan,
  • Manju Aron,
  • Inderbir Gill,
  • William D. Wallace and
  • C.-C. Jay Kuo
  • + 1 author

Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cancer. Extensive efforts have been made to utilize radiomics from computed tomography (CT) imaging to predict tumor immune microenvironment (TIME) measurements. This study prop...

  • Article
  • Open Access
1 Citations
1,710 Views
23 Pages

Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation

  • Shucai Li,
  • Na Zhang,
  • Gang Yang,
  • Yannong Hou and
  • Xingzhong Zhang

Aiming at the difficulties of scarcity of defect samples on the surface of power insulators, irregular morphology and insufficient pixel-level localization accuracy, this paper proposes a defect detection method based on graph feature diffusion disti...

  • Article
  • Open Access
2 Citations
3,654 Views
31 Pages

SAM for Road Object Segmentation: Promising but Challenging

  • Alaa Atallah Almazroey,
  • Salma kammoun Jarraya and
  • Reem Alnanih

Road object segmentation is crucial for autonomous driving, as it enables vehicles to perceive their surroundings. While deep learning models show promise, their generalization across diverse road conditions, weather variations, and lighting changes...

  • Article
  • Open Access
1 Citations
1,330 Views
25 Pages

CSANet: Context–Spatial Awareness Network for RGB-T Urban Scene Understanding

  • Ruixiang Li,
  • Zhen Wang,
  • Jianxin Guo and
  • Chuanlei Zhang

Semantic segmentation plays a critical role in understanding complex urban environments, particularly for autonomous driving applications. However, existing approaches face significant challenges under low-light and adverse weather conditions. To add...

  • Article
  • Open Access
1,694 Views
19 Pages

Spiral fractures are a frequent clinical manifestation of child abuse, particularly in non-ambulatory infants. Approximately 50% of fractures in children under one year of age are non-accidental, yet differentiating between accidental and abusive inj...

  • Article
  • Open Access
2,441 Views
27 Pages

NCT-CXR: Enhancing Pulmonary Abnormality Segmentation on Chest X-Rays Using Improved Coordinate Geometric Transformations

  • Abu Salam,
  • Pulung Nurtantio Andono,
  • Purwanto,
  • Moch Arief Soeleman,
  • Mohamad Sidiq,
  • Farrikh Alzami,
  • Ika Novita Dewi,
  • Suryanti,
  • Eko Adhi Pangarsa and
  • Daniel Rizky
  • + 5 authors

Medical image segmentation, especially in chest X-ray (CXR) analysis, encounters substantial problems such as class imbalance, annotation inconsistencies, and the necessity for accurate pathological region identification. This research aims to improv...

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J. Imaging - ISSN 2313-433X