Image Processing in Biomedical Engineering—Latest Advances and Prospects
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 12422
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue on biomedical image processing is pleased to invite researchers to submit original research articles for publication.
Image processing has become a fundamental tool in the analysis of medical samples. From microscopy imaging to tomography and a number of other important techniques, image processing is used to identify patterns and abnormalities in medical specimens, and is essential for the diagnosis and treatment of diseases.
Medical and microscopy images are vital tools for the analysis and diagnosis of a wide range of diseases and conditions. They provide a detailed view of a patient’s condition, and help clinicians and researchers to identify patterns, abnormalities and other critical features that can be used to make a more accurate diagnosis or assess the efficacy of a treatment. Advances in imaging technology have greatly improved the ability to acquire and analyze medical and microscopic images, and have enabled scientists to understand complex biological processes at the cellular and molecular level. As a result, the use of medical and microscopic imaging has become an essential part of medical research, enabling clinicians and researchers to identify and explore the underlying causes of disease, test new treatments and develop more effective interventions to improve patient outcomes.
Animal models have long been an important tool for studying diseases and developing new treatments, allowing researchers to explore the underlying causes of disease and test new therapies in a controlled environment. In many cases, these models using microscopy and other medical imaging can provide essential information about human diseases, allowing researchers to develop new treatments and interventions that can improve patient outcomes.
In recent years, there has been growing interest in the use of biomedical signal processing to complement and enhance the information obtained from medical imaging. Biomedical signal processing techniques are used to analyze and interpret signals obtained from physiological systems, such as ECG, EEG and EMG signals. These signals can be used to better understand how the body functions and how diseases affect it. By integrating the analysis of biomedical signals with that of medical imaging, researchers can gain a more complete understanding of a patient’s condition, which can lead to more accurate diagnoses and more effective treatments.
In this Special Issue, we are interested in receiving articles on any topic related to biomedical image and biomedical signal processing, including, but not limited to, medical image filtering, analysis, segmentation and registration, biomedical signal processing, computer-aided diagnosis and applications of biomedical imaging in cell biology, biochemistry, pharmacology and other related fields using methods based on either classical image processing or machine learning.
Dr. Manuel G. Forero
Guest Editor
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