Imaging Modalities-Based Classification for Lung Cancer Detection
Sajim Ahmed, Muhammad Zain Chaudhary, Muhammad Zohaib Chaudhary, Mahmoud Abbass, Ahmed Sherif, Mohammad Mahbubur Rahman Khan Mamun
肺癌仍然是全球癌症相关死亡率的主要原因。 本综述分析了各种方法,包括先进的图像处理方法,重点关注它们解释CT扫描,胸部放射线图和生物标记的功效。 值得注意的是,我们确定了之前调查中的关键差距,包括需要强大的模型,这些模型可以概括不同的人群和成像模式。 这种综合合成旨在作为研究人员和临床医生的基础资源,指导未来为更准确和高效的肺癌检测所做的努力。 主要发现表明,与CT扫描集成的3D CNN架构实现了最卓越的性能,但高误报,数据集可变性和计算复杂性等挑战在各个模式中仍然存在。
Lung cancer continues to be the predominant cause of cancer-related mortality globally. This review analyzes various approaches, including advanced image processing methods, focusing on their efficacy in interpreting CT scans, chest radiographs, and biological markers. Notably, we identify critical gaps in the previous surveys, including the need for robust models that can generalize across diverse populations and imaging modalities. This comprehensive synthesis aims to serve as a foundational r...