Advances in Computer Assisted Tomography: New Technologies for Improving Biomedical Image, Sensor and Signal Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 10 December 2024 | Viewed by 1585
Special Issue Editors
Interests: computer vision; image processing; physiological sensing; biomedical engineering; deep learning; machine learning; video processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer-assisted tomography includes well-established techniques that generate detailed internal images of human body such as CT and MRI scans. It is an important tool with many applications including in medical diagnosis, biological studies and therapeutic decision-making processes. Powered by recent advances in sensor technology, computer vision, machine learning, artificial intelligence and big data, the field is poised for expansive development that will significantly improve the accuracy and efficiency of recognizing, classifying and segmenting high-risk health indicators. Progress in these areas should assist physicians and radiologists in achieving more accurate medical diagnosis and better clinical outcomes for their patients. Topics of interest for this Special Issue include: functional CT and MR imaging; advanced techniques for CT and MR and artificial intelligence-powered CT / MR analysis.
Dr. Dangdang Shao
Dr. Chenbin Liu
Guest Editors
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Keywords
- computer-assisted tomography
- artificial intelligence
- medical imaging
- computer-aided diagnosis
- computer vision
- tomographic sensors
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