Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm
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 med...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2023/04/bioconf_icbb2023_03002.pdf |
| _version_ | 1797829424697049088 |
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| author | Ren Hongfei |
| author_facet | Ren Hongfei |
| author_sort | Ren Hongfei |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T13:20:05Z |
| format | Article |
| id | doaj.art-980e10282c41477daa9aa22f4ab0dabc |
| institution | Directory Open Access Journal |
| issn | 2117-4458 |
| language | English |
| last_indexed | 2024-04-09T13:20:05Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj.art-980e10282c41477daa9aa22f4ab0dabc2023-05-11T09:08:11ZengEDP SciencesBIO Web of Conferences2117-44582023-01-01590300210.1051/bioconf/20235903002bioconf_icbb2023_03002Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation AlgorithmRen Hongfei0University of MalayaIntelligent 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.https://www.bio-conferences.org/articles/bioconf/pdf/2023/04/bioconf_icbb2023_03002.pdf |
| spellingShingle | Ren Hongfei Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm BIO Web of Conferences |
| title | Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm |
| title_full | Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm |
| title_fullStr | Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm |
| title_full_unstemmed | Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm |
| title_short | Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm |
| title_sort | optimization of lung ct image processing and recognition based on e srg segmentation algorithm |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2023/04/bioconf_icbb2023_03002.pdf |
| work_keys_str_mv | AT renhongfei optimizationoflungctimageprocessingandrecognitionbasedonesrgsegmentationalgorithm |