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1.
Journal of Biomedical Engineering ; (6): 918-929, 2020.
Artículo en Chino | WPRIM | ID: wpr-879221

RESUMEN

In recent years, deep learning has provided a new method for cancer prognosis analysis. The literatures related to the application of deep learning in the prognosis of cancer are summarized and their advantages and disadvantages are analyzed, which can be provided for in-depth research. Based on this, this paper systematically reviewed the latest research progress of deep learning in the construction of cancer prognosis model, and made an analysis on the strengths and weaknesses of relevant methods. Firstly, the construction idea and performance evaluation index of deep learning cancer prognosis model were clarified. Secondly, the basic network structure was introduced, and the data type, data amount, and specific network structures and their merits and demerits were discussed. Then, the mainstream method of establishing deep learning cancer prognosis model was verified and the experimental results were analyzed. Finally, the challenges and future research directions in this field were summarized and expected. Compared with the previous models, the deep learning cancer prognosis model can better improve the prognosis prediction ability of cancer patients. In the future, we should continue to explore the research of deep learning in cancer recurrence rate, cancer treatment program and drug efficacy evaluation, and fully explore the application value and potential of deep learning in cancer prognosis model, so as to establish an efficient and accurate cancer prognosis model and realize the goal of precision medicine.


Asunto(s)
Humanos , Aprendizaje Profundo , Neoplasias , Medicina de Precisión , Pronóstico
2.
Chinese Journal of Experimental Ophthalmology ; (12): 1034-1036, 2019.
Artículo en Chino | WPRIM | ID: wpr-800129

RESUMEN

3D printing refers to the approach in manufacturing the three-dimensional physical objects by adding materials layer by layer.It features the advantages of quick styling, high flexibility and cost saving.The medical industry is extensively regarded as one of the most important application sectors for 3D printing.In recent years, due to the development of technical and the enhanced support from the nation in the 3D related research, the application of 3D printing technology in the ophthalmology has been increasing.This review made the overview analysis on the 3D printing technology application and possible prospects in the aspects of medical education, foundation research, surgical assistance and individualized treatment of ophthalmology, made a brief introduction on the 3D bioprinting technology attracting extensive attention recently.

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