基于图像分割的肺癌MRI图像调查

S. Perumal, T. Velmurugan
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引用次数: 1

摘要

鉴别肺癌的受累部位并给予适当的治疗是医学界的难题。医生在正确发现肺部癌变部位时面临许多问题。图像处理可以解决这类问题,特别是识别肺部的癌症影响区域。收集不同类型肺癌图像的历史数据,由医生和专家进行图像处理方法,以识别肺部的癌症受影响区域。本研究工作对各研究人员所做的肺癌数据分析进行了调查。同时,提出了预测肺部病变部位癌变的最佳方法和技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Segmentation Based Survey on the Lung Cancer MRI Images
: Differentiating cancer affected part in lungs and giving proper solution to the problem are toughest job in medical field. Doctors face many problems in correctly spotting up of cancer affected area in lungs. Image processing can be a solvent for this type of issues, especially to identify the cancer affected areas in lungs. Historical data of different types of lung cancer images are collected and image processing methods are carried out for the identification of cancer affected regions in the lungs by the physicians and experts. This research work carried out a survey on the lung cancer data analysis done by various researchers. Also, it suggests the best method and technique applied for the prediction of cancer in the affected parts of lungs.
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