Motivation and Scope:
With the rapid development of artificial intelligence technology, advanced deep learning models play a crucial role in the research of medical image processing, contributing significantly to the automation of healthcare. The application of AI and deep learning technology enables the development of innovative computer-aided diagnosis (CAD) systems, medical image reconstruction, image segmentation, and disease prediction.
This is important for improving the accuracy and efficiency of medical diagnosis, promoting personalized medicine, and reducing healthcare costs.
Recent studies indicate that advanced deep learning models with different structural designs can achieve outstanding performance in specific types of medical image applications, further supporting the development of emerging technologies such as automated medical diagnosis, precision medicine, and telemedicine.
The special session discusses the application and advancement of advanced deep learning models in the field of medical image processing. Researchers in related fields are invited to submit high quality original articles with the latest results and developments, particularly focusing on deep learning-based medical image reconstruction, segmentation, and classification.
1, | Computer-aided diagnosis in medical image including CT, MRI, and PET |
2, | Segmentation in medical image based on deep learning |
3, | Nosie removal in medical image |
4, | Disease classification in medical image based on deep learning |
5, | Medical Image reconstruction based on deep learning |
E-mail address:
Prof. Lisheng Wei:Lshwei_11@163.com
Paper submission:
Prospective authors are invited to submit full-length papers before the submission deadline through the online submission system at https://www.smartchair.org/LSMS2024-ICSEE2024/. Further, proposals for special sessions within the technical scopes of the conference are most welcome. Papers submitted for special sessions will be peer-reviewed with the same criteria as used with regular papers. A special session proposal should include the session title, a brief description, and the names, contact details and bio-sketch of the organizers.
See also the Author's kit for Paper Format.
Accepted papers are scheduled to be published in the Springer Communications in Computer and Information Science (CCIS) proceedings (EI Compendex). Some high-quality papers will be recommended for possible publication in SCI indexed international journals after expansion and further review, such as Journal of Modern Power Systems and Clean Energy, Transactions of the Institute of Measurement and Control, Expert System with Applications, Swarm and Evolutionary Computation, Cognitive Computation, Enterprise Information Systems, Advances in Manufacturing, IET Energy Systems Integration, etc.