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Journal of Imaging, Volume 9, Issue 12

December 2023 - 29 articles

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Cover Story: The advancement of medical prognoses hinges on timely and reliable assessments. Conventional methods of diagnosis, which are often reliant on human expertise, lead to inconsistencies due to professionals’ subjectivity, knowledge, and experience. To address these problems head-on, we harnessed artificial intelligence to introduce a transformative solution. We used convolutional neural networks to segment vertebrae accurately and precisely identify Cobb angle measurements. We also compared physicians’ manual evaluations against our machine-driven measurements to further validate our approach’s practicality and reliability. An insignificant difference between the two methods was identified. Our work consistently upholds the premise that scoliosis examination is the key to improving and advancing healthcare. View this paper

Articles (29)

  • Article
  • Open Access
2 Citations
2,847 Views
20 Pages

Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models

  • Rossana Buongiorno,
  • Giulio Del Corso,
  • Danila Germanese,
  • Leonardo Colligiani,
  • Lorenzo Python,
  • Chiara Romei and
  • Sara Colantonio

18 December 2023

Imaging plays a key role in the clinical management of Coronavirus disease 2019 (COVID-19) as the imaging findings reflect the pathological process in the lungs. The visual analysis of High-Resolution Computed Tomography of the chest allows for the d...

  • Article
  • Open Access
2 Citations
2,951 Views
14 Pages

18 December 2023

This study proposed enhanced U-Net with GridMask (EUGNet) image augmentation techniques focused on pixel manipulation, emphasizing GridMask augmentation. This study introduces EUGNet, which incorporates GridMask augmentation to address U-Net’s...

  • Article
  • Open Access
2 Citations
3,083 Views
28 Pages

Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues

  • Sahin Coskun,
  • Gokce Nur Yilmaz,
  • Federica Battisti,
  • Musaed Alhussein and
  • Saiful Islam

18 December 2023

A three-dimensional (3D) video is a special video representation with an artificial stereoscopic vision effect that increases the depth perception of the viewers. The quality of a 3D video is generally measured based on the similarity to stereoscopic...

  • Article
  • Open Access
9 Citations
3,537 Views
17 Pages

Convolutional Neural Network Model for Segmentation and Classification of Clear Cell Renal Cell Carcinoma Based on Multiphase CT Images

  • Vlad-Octavian Bolocan,
  • Mihaela Secareanu,
  • Elena Sava,
  • Cosmin Medar,
  • Loredana Sabina Cornelia Manolescu,
  • Alexandru-Ștefan Cătălin Rașcu,
  • Maria Glencora Costache,
  • George Daniel Radavoi,
  • Robert-Andrei Dobran and
  • Viorel Jinga

14 December 2023

(1) Background: Computed tomography (CT) imaging challenges in diagnosing renal cell carcinoma (RCC) include distinguishing malignant from benign tissues and determining the likely subtype. The goal is to show the algorithm’s ability to improve...

  • Article
  • Open Access
2 Citations
2,913 Views
21 Pages

14 December 2023

This study presents a methodology for the coarse alignment of light detection and ranging (LiDAR) point clouds, which involves estimating the position and orientation of each station using the pinhole camera model and a position/orientation estimatio...

  • Editorial
  • Open Access
1,933 Views
2 Pages

Editorial for the Special Issue on Industrial Machine Learning Applications

  • Paolo Rota,
  • Miguel Angel Guevara Lopez and
  • Francesco Setti

14 December 2023

In the rapidly evolving field of industrial machine learning, this Special Issue on Industrial Machine Learning Applications aims to shed light on the innovative strides made toward more intelligent, more efficient, and adaptive industrial processes...

  • Article
  • Open Access
2 Citations
2,663 Views
33 Pages

13 December 2023

Image retrieval is the process of searching and retrieving images from a datastore based on their visual content and features. Recently, much attention has been directed towards the retrieval of irregular patterns within industrial or healthcare imag...

  • Article
  • Open Access
1 Citations
3,544 Views
16 Pages

13 December 2023

Attention-based encoder–decoder scene text recognition (STR) architectures have been proven effective in recognizing text in the real world, thanks to their ability to learn an internal language model. Nevertheless, the cross-attention operatio...

  • Review
  • Open Access
18 Citations
15,159 Views
38 Pages

12 December 2023

Three-dimensional human pose estimation has made significant advancements through the integration of deep learning techniques. This survey provides a comprehensive review of recent 3D human pose estimation methods, with a focus on monocular images, v...

  • Systematic Review
  • Open Access
2 Citations
3,454 Views
16 Pages

8 December 2023

Due to the importance of correct and timely diagnosis of bone metastases in advanced breast cancer (BrC), we performed a meta-analysis evaluating the diagnostic accuracy of [18F]FDG, or Na[18F]F PET, PET(/CT), and (/MRI) versus [99mTc]Tc-diphosphonat...

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J. Imaging - ISSN 2313-433XCreative Common CC BY license