The feasibility of CNN and CAD binding recognition to judge cells

Xiaoqiu Li

doi:10.1117/12.2660379

6 December 2022 The feasibility of CNN and CAD binding recognition to judge cells

Xiaoqiu Li

Proceedings Volume 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022); 1245839 (2022) https://doi.org/10.1117/12.2660379
Event: International Conference on Biomedical and Intelligent Systems, 2022, Chengdu, China

Abstract

With the development of medical technology, there are also special databases for human understanding and data collection of various cells, and doctors' judgments on various diseases have become more accurate with the help of various technologies. This article will introduce the development of machine learning and the three stages of human development of cell recognition and the tools used to explain the importance of cell recognition. At the same time, this article will introduce the CNN model and the information retrieval CAD system to explain and find their medical response through research on the functions and working methods of the two models. The defects in use and the corresponding remedial measures, as well as discuss how to improve them, and whether the two models can be combined to make up for each other's shortcomings.

Citation Download Citation

Xiaoqiu Li "The feasibility of CNN and CAD binding recognition to judge cells", Proc. SPIE 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022), 1245839 (6 December 2022); https://doi.org/10.1117/12.2660379

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