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Journal of Imaging, Volume 11, Issue 4

April 2025 - 35 articles

Cover Story: Prostate cancer (PCa) is the second most common malignancy among men worldwide; however, it is highly curable if detected early. Hence, the main clinical challenge is to accurately identify those with and without cancer as early as possible. This paper introduces a novel multi-encoder cross-attention 3D architecture for assessing PCa presence in whole bi-parametric magnetic resonance imaging (MRI) volumes. With an architecture specifically designed to exploit complementary imaging features alongside clinical variables and the ProstateNET Imaging Archive, the largest image database worldwide for PCa mpMRI data, this study establishes new baselines for performances. The proposed method paves the way towards the clinical adoption of deep learning models for accurately determining the presence of PCa in patient populations. View this paper
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Articles (35)

  • Article
  • Open Access
1,967 Views
17 Pages

Volumetric Path Tracing (VPT) based on Monte Carlo (MC) sampling often requires numerous samples for high-quality images, but real-time applications limit samples to maintain interaction rates, leading to significant noise. Traditional real-time deno...

  • Review
  • Open Access
3 Citations
3,022 Views
44 Pages

Low-Light Image and Video Enhancement for More Robust Computer Vision Tasks: A Review

  • Mpilo M. Tatana,
  • Mohohlo S. Tsoeu and
  • Rito C. Maswanganyi

Computer vision aims to enable machines to understand the visual world. Computer vision encompasses numerous tasks, namely action recognition, object detection and image classification. Much research has been focused on solving these tasks, but one t...

  • Article
  • Open Access
1,145 Views
16 Pages

Evolution of Lung Disease Studied by Computed Tomography in Adults with Cystic Fibrosis Treated with Elexacaftor/Tezacaftor/Ivacaftor

  • Susana Hernández-Muñiz,
  • Paloma Caballero,
  • Adrián Peláez,
  • Marta Solís-García,
  • Carmen de Benavides,
  • Javier Collada,
  • Ignacio Díaz-Lorenzo,
  • Cristina Zorzo,
  • Rosa Mar Gómez-Punter and
  • Rosa María Girón

Elexacaftor–tezacaftor–ivacaftor (ETI) has shown clinical and spirometric benefits in cystic fibrosis (CF). CT remains a vital tool for diagnosing and monitoring structural lung disease. This study aimed to assess the evolution of lung di...

  • Article
  • Open Access
731 Views
17 Pages

Evolutionary-Driven Convolutional Deep Belief Network for the Classification of Macular Edema in Retinal Fundus Images

  • Rafael A. García-Ramírez,
  • Ivan Cruz-Aceves,
  • Arturo Hernández-Aguirre,
  • Gloria P. Trujillo-Sánchez and
  • Martha A. Hernandez-González

Early detection of diabetic retinopathy is critical for preserving vision in diabetic patients. The classification of lesions in Retinal fundus images, particularly macular edema, is an essential diagnostic tool, yet it presents a significant learnin...

  • Article
  • Open Access
2 Citations
969 Views
31 Pages

This paper presents a modified image encryption scheme based on the OTP (One-Time Pad) algorithm, consisting of chaotic synchronization and artificial neural networks (ANNs) for improved security and efficiency. The scheme uses chaotic synchronizatio...

  • Article
  • Open Access
1,214 Views
15 Pages

Classification of Parotid Tumors with Robust Radiomic Features from DCE- and DW-MRI

  • Francesca Angelone,
  • Silvia Tortora,
  • Francesca Patella,
  • Maria Chiara Bonanno,
  • Maria Teresa Contaldo,
  • Mario Sansone,
  • Gianpaolo Carrafiello,
  • Francesco Amato and
  • Alfonso Maria Ponsiglione

This study aims to evaluate the role of MRI-based radiomic analysis and machine learning using both DWI with multiple B-values and dynamic contrast-enhanced T1-weighted sequences to differentiate benign (B) and malignant (M) parotid tumors. Patients...

  • Article
  • Open Access
860 Views
14 Pages

RGB Color Space-Enhanced Training Data Generation for Cucumber Classification

  • Hotaka Hoshino,
  • Takuya Shindo,
  • Takefumi Hiraguri and
  • Nobuhiko Itoh

Cucumber farmers classify harvested cucumbers based on specific criteria before they are introduced to the market. During peak harvesting periods, farmers must process a large volume of cucumbers; however, the classification task requires specialized...

  • Review
  • Open Access
1 Citations
2,697 Views
22 Pages

Computed Tomography Imaging of Thoracic Aortic Surgery: Distinguishing Life-Saving Repairs from Life-Threatening Complications

  • Marco Fogante,
  • Paolo Esposto Pirani,
  • Fatjon Cela,
  • Jacopo Alfonsi,
  • Corrado Tagliati,
  • Liliana Balardi,
  • Giulio Argalia,
  • Marco Di Eusanio and
  • Nicolò Schicchi

Thoracic aortic pathology encompasses a spectrum of life-threatening conditions that demand prompt diagnosis and intervention. Significant advancements in surgical management, including open repair, endovascular aortic repair, and hybrid techniques,...

  • Article
  • Open Access
1 Citations
761 Views
18 Pages

Shitsukan, which encompasses the perception of roughness, glossiness, and transparency/translucency, represents the comprehensive visual appearance of objects and plays a crucial role in accurate reproduction across various fields, including manufact...

  • Article
  • Open Access
1 Citations
1,399 Views
14 Pages

Early detection of Trypanosoma parasites is critical for the prompt treatment of trypanosomiasis, a neglected tropical disease that poses severe health and socioeconomic challenges in affected regions. To address the limitations of traditional manual...

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J. Imaging - ISSN 2313-433X