| Autor: |
Subramanyam, N., Kumar, C. Vijaya, Reddy, A. Rajasekhar, Chandrakanth, P. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2802 Issue 1, p1-7, 7p |
| Abstrakt: |
Brain analysis method is a necessary clinical function; can be analyzed by many techniques. Several diagnostic techniques are effective for brain scans, such as CT, MRI, X-ray, and CTA. If medical goals are immediate and realistic, then the prediction method is simple; these can help the patient's health. Purpose: In this project, a CT-based intelligence analysis gadget is propagated using the CNN-GB method. A real and accurate talent prediction system offers a high quality treatment with an environmentally friendly success rate. Method: In this work, the talent failure is detected by computer devices and in-depth knowledge. This operation requires a database (Kaggle database) and real-time CT scan images. CNN and GBML techniques are used in CT intelligence images to detect interference. Results: This proposed method gains an accuracy of 0.992 and 0.993 Tp this is a suitable result unlike the previous method. Conclusion: In this study, a CT scan-based intelligence tool was developed. The structure is a combination of flexible filter, CNN's in-depth mannequin information acquisition, and gradient learning that enhances portable computing. Thanks to the combination of three algorithms they get the right results compared to pre-fashion. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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