Medical Image Processing Use in Personalized Medicine

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".

Deadline for manuscript submissions: 25 December 2024 | Viewed by 685

Special Issue Editor


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Guest Editor
Applied Artificial Intelligence Research Center, Near East University, Nicosia, Cyprus
Interests: AI; machine learning; computer vision

Special Issue Information

Dear Colleagues,

Image processing is still of significant importance in medical applications, particularly in personalized medicine. It is used for preprocessing, postprocessing, content, and information analysis prior to diagnostic tools such as a tumor or abnormal cell segmentation, disease classification, and personalized treatment. Researchers can make advanced deep learning methods more effective using medical image processing techniques and help reveal personalized disease characteristics to make treatments more effective. Therefore, comprehensive analyses could improve diagnostic accuracy and therapeutic decision-making. This Special Issue seeks to bring together different disciplines, such as image processing, computer vision, and medicine, to provide outstanding approaches to personalized medicine and improved patient outcomes.

Dr. Boran Şekeroğlu
Guest Editor

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Keywords

  • medical image processing
  • low-level image preprocessing
  • deep learning
  • segmentation
  • disease classification
  • personalized medicine
  • bioinformatics

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Published Papers (1 paper)

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Research

14 pages, 7475 KiB  
Article
The Three-Dimensional Investigation of the Radiographic Boundary of Mandibular Full-Arch Distalization in Different Facial Patterns
by Yin-Yu Chou, Chia-Hsuan Chan, Yu-Jen Chang, Shiu-Shiung Lin, Chen-Feng Cheng and Te-Ju Wu
J. Pers. Med. 2024, 14(11), 1071; https://doi.org/10.3390/jpm14111071 - 24 Oct 2024
Viewed by 422
Abstract
Objective: Mandibular full-arch distalization (MFD) is a popular approach, particularly in non-extraction cases. However, we still cannot confirm whether facial patterns affect the amount of limits. This study aimed to determine the anatomical MFD limits in patients with different facial patterns. Study design: [...] Read more.
Objective: Mandibular full-arch distalization (MFD) is a popular approach, particularly in non-extraction cases. However, we still cannot confirm whether facial patterns affect the amount of limits. This study aimed to determine the anatomical MFD limits in patients with different facial patterns. Study design: Using computed tomography (CT), the shortest distances from the mandibular second molar to the inner cortex of the mandibular lingual surface and from the lower central incisor to the inner cortex of the lingual mandibular symphysis were measured in 60 samples (30 patients). The available distalization space in both regions was compared between groups with different facial patterns. Results: The available space in symphysis was more critical than that in retromolar area: the shortest distances to the inner cortex of the lingual mandibular symphysis at root levels 8 mm apical to the cementoenamel junction of the incisor were 1.28, 1.60, and 3.48 mm in the high-, normal-, and low-angle groups, respectively. Conclusions: Facial patterns affected the MFD capacity, and the thickness of the lingual mandibular symphysis was the most critical anatomic limit encountered. Practitioners should always pay attention to the possible impacts from facial patterns, especially in the treatment of high-angle cases. Full article
(This article belongs to the Special Issue Medical Image Processing Use in Personalized Medicine)
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