Clinical research on smart healthcare has an increasing demand for
intelligent and clinic-oriented medical image computing algorithms and
platforms that support various applications. To this end, we have developed
SenseCare research platform for smart healthcare, which is designed to boost
translational research on intelligent diagnosis and treatment planning in
various clinical scenarios. To facilitate clinical research with Artificial
Intelligence (AI), SenseCare provides a range of AI toolkits for different
tasks, including image segmentation, registration, lesion and landmark
detection from various image modalities ranging from radiology to pathology. In
addition, SenseCare is clinic-oriented and supports a wide range of clinical
applications such as diagnosis and surgical planning for lung cancer, pelvic
tumor, coronary artery disease, etc. SenseCare provides several appealing
functions and features such as advanced 3D visualization, concurrent and
efficient web-based access, fast data synchronization and high data security,
multi-center deployment, support for collaborative research, etc. In this
paper, we will present an overview of SenseCare as an efficient platform
providing comprehensive toolkits and high extensibility for intelligent image
analysis and clinical research in different application scenarios.Comment: 11 pages, 10 figure