A Study of Brain Tumor detection using MRI images

Asadullah Kehar, Mashooque Ali Mahar, Shahid Hussain Danwer, Sidra Parveen, Mariya Bhutto, Zoya Qutrio
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Abstract

This study investigates the advantages of an algorithm for detecting brain tumors using magnetic resonance imaging. The thematic analysis demonstrates how the algorithm can be understood and changed through narrative descriptions. The findings highlight areas for improvement, which aids in the direction of future research. Based on unexpected results, the algorithm was improved over time. Even though the study had some restrictions and limitations, this makes the algorithm a versatile tool for detecting brain tumors. This study is an important step toward better understanding algorithmic applications and demonstrates the significance of qualitative insights in shaping the future of brain tumor detection methods.
利用磁共振成像检测脑肿瘤的研究
本研究探讨了利用磁共振成像检测脑肿瘤的算法的优势。主题分析展示了如何通过叙述性描述来理解和改变算法。研究结果突出了需要改进的地方,有助于确定未来的研究方向。基于意想不到的结果,该算法随着时间的推移得到了改进。尽管这项研究有一些限制和局限性,但这使得该算法成为检测脑肿瘤的多功能工具。这项研究是朝着更好地理解算法应用迈出的重要一步,并证明了定性见解对塑造未来脑肿瘤检测方法的重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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