Biomedical Sensing System Based on Image Analysis

Dear Colleagues,

Medical images are one of the most important sources of biomedical sensing data, including radiological images, pathological images and photographs of affected areas with special instruments. The sensor system developed based on medical images can not only integrate multi-modal medical data information to realize real-time monitoring of patients' conditions, but also predict patients' prognosis and even rehabilitation. In addition, biomedical sensing systems based on medical images offer the possibility of a standardized disease assessment that removes subjective judgments. In particular, some new techniques are introduced in this domain, such as Medical Image Processing Knowledge Editing for LLM Aircraft Detection and Recognition with Few-Shot Medical Image Segmentation based on domain adaption multi-omics information integration and Infrared Small Target Detection. Finally, we welcome the submission of manuscripts to our Special Issue on (but not limited to) the following topics:

1. Test and analysis of the application effect of medical image key point detection algorithms;
2. Test and analysis of the application effect of medical image segmentation algorithms;
3. Test and analysis of the application effect of medical image target classification algorithms;
4. The application of artificial intelligence in this digital measurement of human anatomy;
5. Application of artificial intelligence in the diagnosis of coronary heart disease;
6. Application of artificial intelligence in the diagnosis of pulmonary nodules;
7. Application of human intelligence in spinal measurement;
8. Calculation of the risk of disease or other unexpected events for healthy people or patients based on medical images;
9. Use of real-time medical images to detect disease in patients, so as to assist treatment or provide an early warning of changes in patients' conditions;
10. Perform diagnosis and differential diagnosis through medical images during the course of the disease, assist in the formulation of medical plans and predict the prognosis of patients;
11. Based on medical images, evaluate the information that is difficult to obtain manually on images, including molecular biological characteristics and metabolites;
12. Adopt new methods, semi-automatic or fully automatic medical information extraction, so as to improve efficiency.

Dr. Chen Li
Prof. Dr. Marcin Grzegorzek
Guest Editors

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