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Nuclear Scanning Optimization for Medical Applications


Publishing date
01 Dec 2022
Status
Published
Submission deadline
12 Aug 2022

Lead Editor

1University of Teramo, Teramo, Italy

2PSG College of Engineering, Coimbatore, India

3Karpagam College of Engineering, Coimbatore, India


Nuclear Scanning Optimization for Medical Applications

Description

Nuclear scanning has traditionally adopted and exploited many methods of integrating computer vision into broader fields. With help, many scanning methods and image data modifications can be updated with respect to next-generation technology. These techniques are used to visualize image-based nuclear scanning and integration for non-invasive medical applications. Scanning methods are usually painless, except for intravenous injections.

Medical scans also show relatively smaller variations in anatomy, orientation, and field of view compared with natural images. These scanning tests use a radioactive substance called a radiopharmaceutical to help the doctor diagnose and evaluate a medical condition. We can see peak levels on a fluorodeoxyglucose (FDG) scan, allowing the doctor to detect the disease before it can be detected on a specific medical scan report. The FDG-PET is one of the most important scanning operations used in medical science. Normally, this is optimized and controlled by effective scanners to generate efficient results. Nuclear scanning technology requires small doses of harmful content to detect, measure, or treat many diseases. It is implicated in several forms of tumor, cardiac, cardiovascular, endocrine, psychiatric, and other kinds of diseases. Since nuclear scanning applications can detect molecular activity, they can also diagnose disease at early levels.

The aim of this Special Issue is to discuss recent developments and innovations in nuclear scanning applications in the field of medical science. We are particularly interested in developing new uses for nuclear scanning optimization methods for next generation scanners. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Medical scanning and smart device applications
  • Internet of Things-based scanning methods and applications
  • Nuclear scanning and power informatics
  • Medical photography and data transfer
  • Scanning pixels and fragmentation
  • Nuclear medicine and therapeutic scanning procedures
  • Nuclear medical fusion and scanning optimization
  • Radioimmunotherapy and radiotherapy for medical scanning applications
  • Optimization and scanning efficiency upgradation
  • Impact of medical scanning resolution in nuclear medicine
  • Logic in nuclear scan-based programming
  • Probability logic and belief functions for health-based scan monitoring
  • Bio-intelligence and scanning optimization
  • Molecular scanning and drug prediction

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 7558807
  • - Research Article

[Retracted] Effect of Running Exercise on Brain Functional Magnetic Resonance Characteristics of College Students with Depression

Wangda Li | Jun Yang
  • Special Issue
  • - Volume 2022
  • - Article ID 8356256
  • - Research Article

[Retracted] Effect of Foot and Hand Massage on Abdominal Pain of Cesarean Section Incision under Ultrasound Guidance

Yu Qing Wang | Rongrong Jiang | Jianmin Pan
  • Special Issue
  • - Volume 2022
  • - Article ID 7027007
  • - Research Article

[Retracted] Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training

Renying Fei
  • Special Issue
  • - Volume 2022
  • - Article ID 3330427
  • - Research Article

[Retracted] Research and Implementation of Robot Vision Scanning Tracking Algorithm Based on Deep Learning

Haifeng Guo | Wenyi Li | ... | Zhao Han
  • Special Issue
  • - Volume 2022
  • - Article ID 4987782
  • - Research Article

[Retracted] Image Observation Study on Improving the Effectiveness of Muscle Strength Training for Sprinters

Yimin Zou | Liming Han
  • Special Issue
  • - Volume 2022
  • - Article ID 1199210
  • - Research Article

[Retracted] Application of Ultrasound Combined with Magnetic Resonance Imaging in the Diagnosis and Grading of Patients with Prenatal Placenta Accreta

Xiaoyan Zhang | Fengfeng Liu | Xiaoyan Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 9640177
  • - Review Article

[Retracted] 3D Convolutional Neural Network Framework with Deep Learning for Nuclear Medicine

P. Manimegalai | R. Suresh Kumar | ... | Jerome Christhudass
  • Special Issue
  • - Volume 2022
  • - Article ID 5314225
  • - Research Article

[Retracted] Diagnostic Efficacy of CT Radiomic Features in Pulmonary Invasive Mucinous Adenocarcinoma

Aizhu Sheng | Pengfei Zhou | ... | Zhenhua Yang
  • Special Issue
  • - Volume 2022
  • - Article ID 1200860
  • - Research Article

[Retracted] Unsupervised Hyperspectral Microscopic Image Segmentation Using Deep Embedded Clustering Algorithm

P. Ajay | B. Nagaraj | ... | P. Ananthi
  • Special Issue
  • - Volume 2022
  • - Article ID 4883989
  • - Research Article

[Retracted] Application of Scanning Magnetic Resonance Imaging in the Diagnosis of Prenatal Placental Implantation and Related Care

Qiuping Lin | Bizhu Li | ... | Biyu Wu
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Acceptance rate15%
Submission to final decision126 days
Acceptance to publication17 days
CiteScore2.500
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