| Autor: |
Kumar, T. Sanjay, Jagadeesh, P. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2871 Issue 1, p1-8, 8p |
| Abstrakt: |
This research intends to evaluate two classifiers, an ANN and an NB, to achieve a higher degree of precision in tumor identification using bone x-ray images. Things You Must Have and Perform: The NTHU Computer Vision Lab has made their data available in a publicly accessible dataset, which is utilized in this work. Our capacity to categorize tumor cells from bone x-ray photographs was proved with a beta of 0.2 and an alpha range of 95% using G-power 0.8. The research made use of 280 specimen's total, 140 of which were split evenly between Group 1 and Group 2. Utilizing the Naïve Bayes (NB) classifier with a sample size of 10, the Artificial Neural Network (ANN) is able to detect and group cancer cells in bone x-ray pictures. With a score of 92.0988%, the ANN classifier achieves better results than the NB classifier. With a p-value of only 0.031, the results of this investigation are considered statistically significant. Compared to NB classifiers, ANN classifiers perform better when it comes to identifying and categorizing cancer cells in x-ray pictures of the bone. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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