| Issue |
BIO Web Conf.
Volume 59, 2023
2023 5th International Conference on Biotechnology and Biomedicine (ICBB 2023)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 6 | |
| Section | Clinical Trials and Medical Device Monitoring | |
| DOI | https://doi.org/10.1051/bioconf/20235903002 | |
| Published online | 08 May 2023 | |
Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm
University of Malaya, Kuala Lumpur, Malaysia
* Corresponding author: E-mail: 1280538273@qq.com
Intelligent algorithms such as deep learning and parallel processing technologies such as mobile clouds are constantly evolving, heralding a new era of intelligence. In the new historical period, the development of intelligent medicine is facing great challenges and opportunities. In traditional medicine, medical imaging includes medical imaging and pathological imaging, which is an important reference for doctors in disease diagnosis. Image processing and recognition, as one of the key technologies of computer vision, must be improved under the premise of meeting the needs in practical applications. Therefore, according to the unique pathological characteristics of medical images, combined with the real-time and accuracy of images, the auxiliary diagnosis of images is the need of the development of intelligent medicine. The preprocessing technique and E-SRG algorithm used in this paper can improve the quality of images without being limited by the size of the dataset, and realize the complete segmentation of organs and tissues.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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