多层医学图像的隐式特征研究方法

2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2022-10-12 DOI:10.1109/AICT55583.2022.10013622

J. Hasanov

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引用次数: 2

摘要

本文基于脑视觉扫描与MGMT启动子甲基化状态的假设相关性，综述了脑癌早期诊断的当代问题之一。主题的分析涵盖了提取特征和评估其信息价值的方法，处理相应图像样本的挑战，以及在给定领域中可能有用的模型。本文分析了可能的技术解决方案，并讨论了特定领域实现的效率。最后给出了实验结果和改进建议。

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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On approaches of investigating multi-layered medical images for implicit features

This paper reviews one of the contemporary problems in brain cancer diagnosis in its early stages, based on the hypothetical correlation of visual brain scans with the MGMT promoter methylation status. The analysis of the topics covers the methods of extracting features and evaluating their informative value, the challenges of working with the corresponding image samples, and models that might be useful in the given domain. The paper analyzes the possible technical solutions and discusses the efficiency of the domain-specific implementation. The experimental results are followed by the outcomes and suggestions for improvement.

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来源期刊

2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)

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