Research and application of intelligent hyperspectral analysis technology for Chinese materia medica / 中国中药杂志

With the development of imaging technology and artificial intelligence, hyperspectral imaging technology provides a fast, non-destructive, intelligent, and precise new method for the analysis of Chinese materia medica(CMM). This paper summarized the methods and applications of hyperspectral imaging technology combined with intelligent analysis technology in the field of CMM in recent years, focusing on the acquisition and preprocessing of hyperspectral data, intelligent analysis methods of hyperspectral data, and practical cases of these technologies in the field of CMM. Hyperspectral data of CMM can provide spectral information with nanometer-level resolution and rich spatial texture information simultaneously. This paper summarized the acquisition process, including black-and-white board calibration and region-of-interest extraction, and preprocessing methods including smoothing, differentiation, scale-space, and scattering correction. The feature extraction methods in terms of spectral, spatial, color, and texture were briefly described, and common modeling methods were summarized. Finally, this paper reviewed the research cases of the application of the above methods to the fields of CMM, such as authenticity identification, origin tracing, variety recognition, year identification, sulfur fumigation degree determination, and quantitative measurement.

Intelligent analysis technique of medical imaging assisted accurate diagnosis and treatment for neurosurgery / 医疗卫生装备

The difficulties of clinical diagnosis and treatment in neurosurgery were introduced in brief.The application and important meaning of the deep learning technology, multimodal fusion technology and image guidance techniques in the diagnosis and treatment of neurosurgery were elaborated.In addition,the development and challenges of precise diagnosis and treatment in neurosurgery were discussed.It's pointed out continuous progress of intelligent analysis of medical images would help achieve accurate diagnosis and treatment for neurosurgery, thus reduce the occurrence of misdiagnosis and improve the success rate of operation. Furthermore, it would promote the intelligent development of clinical diagnosis and treatment in neurosurgery.