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Journal of Imaging, Volume 10, Issue 9

September 2024 - 33 articles

Cover Story: This study assessed whether an artificial intelligence (AI) system could enhance the detection of breast cancer (BC), achieving earlier or more accurate diagnoses than radiologists in cases of metachronous contralateral BC. Ten patients who had initially received a partial mastectomy and later developed contralateral BC were analyzed. The AI system identified malignancies in six cases (60%). Notably, two cases (20%) were diagnosed solely by the AI system. Additionally, for these cases, the AI system had identified malignancies a year prior to the conventional diagnosis. This study highlights the AI system's effectiveness in diagnosing metachronous contralateral BC via MG. In some cases, the AI system consistently diagnosed cancer earlier than radiological assessments. View this paper
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Articles (33)

  • Article
  • Open Access
5 Citations
3,105 Views
13 Pages

4 September 2024

Breast cancer is the most commonly diagnosed cancer worldwide. The therapy used and its success depend highly on the histology of the tumor. This study aimed to explore the potential of predicting the molecular subtype of breast cancer using radiomic...

  • Article
  • Open Access
3 Citations
4,571 Views
33 Pages

Integrated Ultrasound Characterization of the Diet-Induced Obesity (DIO) Model in Young Adult c57bl/6j Mice: Assessment of Cardiovascular, Renal and Hepatic Changes

  • Sara Gargiulo,
  • Virginia Barone,
  • Denise Bonente,
  • Tiziana Tamborrino,
  • Giovanni Inzalaco,
  • Lisa Gherardini,
  • Eugenio Bertelli and
  • Mario Chiariello

4 September 2024

Consuming an unbalanced diet and being overweight represent a global health problem in young people and adults of both sexes, and may lead to metabolic syndrome. The diet-induced obesity (DIO) model in the C57BL/6J mouse substrain that mimics the gra...

  • Article
  • Open Access
1 Citations
2,890 Views
17 Pages

FineTea: A Novel Fine-Grained Action Recognition Video Dataset for Tea Ceremony Actions

  • Changwei Ouyang,
  • Yun Yi,
  • Hanli Wang,
  • Jin Zhou and
  • Tao Tian

31 August 2024

Methods based on deep learning have achieved great success in the field of video action recognition. When these methods are applied to real-world scenarios that require fine-grained analysis of actions, such as being tested on a tea ceremony, limitat...

  • Article
  • Open Access
7 Citations
4,096 Views
19 Pages

Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach

  • Reshma Ahmed Swarna,
  • Muhammad Minoar Hossain,
  • Mst. Rokeya Khatun,
  • Mohammad Motiur Rahman and
  • Arslan Munir

31 August 2024

Scientific knowledge of image-based crack detection methods is limited in understanding their performance across diverse crack sizes, types, and environmental conditions. Builders and engineers often face difficulties with image resolution, detecting...

  • Article
  • Open Access
1,951 Views
12 Pages

Longitudinal Imaging of Injured Spinal Cord Myelin and White Matter with 3D Ultrashort Echo Time Magnetization Transfer (UTE-MT) and Diffusion MRI

  • Qingbo Tang,
  • Yajun Ma,
  • Qun Cheng,
  • Yuanshan Wu,
  • Junyuan Chen,
  • Jiang Du,
  • Pengzhe Lu and
  • Eric Y. Chang

30 August 2024

Quantitative MRI techniques could be helpful to noninvasively and longitudinally monitor dynamic changes in spinal cord white matter following injury, but imaging and postprocessing techniques in small animals remain lacking. Unilateral C5 hemisectio...

  • Article
  • Open Access
6 Citations
3,113 Views
16 Pages

Development of a Machine Learning Model for the Classification of Enterobius vermicularis Egg

  • Natthanai Chaibutr,
  • Pongphan Pongpanitanont,
  • Sakhone Laymanivong,
  • Tongjit Thanchomnang and
  • Penchom Janwan

28 August 2024

Enterobius vermicularis (pinworm) infections are a significant global health issue, affecting children predominantly in environments like schools and daycares. Traditional diagnosis using the scotch tape technique involves examining E. vermicularis e...

  • Article
  • Open Access
1 Citations
2,315 Views
13 Pages

AI Use in Mammography for Diagnosing Metachronous Contralateral Breast Cancer

  • Mio Adachi,
  • Tomoyuki Fujioka,
  • Toshiyuki Ishiba,
  • Miyako Nara,
  • Sakiko Maruya,
  • Kumiko Hayashi,
  • Yuichi Kumaki,
  • Emi Yamaga,
  • Leona Katsuta and
  • Du Hao
  • + 5 authors

28 August 2024

Although several studies have been conducted on artificial intelligence (AI) use in mammography (MG), there is still a paucity of research on the diagnosis of metachronous bilateral breast cancer (BC), which is typically more challenging to diagnose....

  • Article
  • Open Access
1 Citations
1,454 Views
29 Pages

26 August 2024

The biomedical imaging field has grown enormously in the past decade. In the era of digitization, the demand for computer-assisted diagnosis is increasing day by day. The COVID-19 pandemic further emphasized how retrieving meaningful information from...

  • Technical Note
  • Open Access
1,813 Views
11 Pages

Ex Vivo Simultaneous H215O Positron Emission Tomography and Magnetic Resonance Imaging of Porcine Kidneys—A Feasibility Study

  • Maibritt Meldgaard Arildsen,
  • Christian Østergaard Mariager,
  • Christoffer Vase Overgaard,
  • Thomas Vorre,
  • Martin Bøjesen,
  • Niels Moeslund,
  • Aage Kristian Olsen Alstrup,
  • Lars Poulsen Tolbod,
  • Mikkel Holm Vendelbo and
  • Steffen Ringgaard
  • + 2 authors

25 August 2024

The aim was to establish combined H215O PET/MRI during ex vivo normothermic machine perfusion (NMP) of isolated porcine kidneys. We examined whether changes in renal arterial blood flow (RABF) are accompanied by changes of a similar magnitude in rena...

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J. Imaging - ISSN 2313-433X