用神经网络乳房x光检查乳腺癌

Renuka Nagpure, S. Chandak, Nileema Pathak
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引用次数: 2

摘要

如今,与其他癌症相比,乳腺癌是女性面临的严重问题之一。在印度,乳腺癌风险显示,每28名女性中就有1人在其一生中导致乳腺癌的发展并变得更加成熟。当乳房中的细胞开始生长或开始生长失控时,乳腺癌就开始从乳房组织扩散。这些细胞通常形成肿瘤,通常可以在乳房x光检查中看到或感觉到肿块。如果细胞能够生长(侵入)到周围组织或扩散(转移)到身体的远处,那么肿瘤就是恶性的(癌症)。乳腺癌在女性和男性中都有发生。在印度,癌症的平均年龄在43-46岁之间,而在西方,53-57岁的女性更容易患乳腺癌。本文包括使用各种数据挖掘以及神经网络来识别早期乳腺癌的存在并有效地诊断它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breast Cancer Detection using Neural Network Mammogram
Now-a-days Breast cancer is one of the serious issues for women when compared to all other cancers. In India Breast cancer risk revealed that 1 in 28 women cause to grow and become more mature breast cancer during her lifetime. Breast cancer begins when cells in the breast use to grow or start to grow out of control and it advances from breast tissue. These cells usually form a tumor that can often be seen on a mammogram or felt as a lump. If cells can grow into (invade) surrounding tissues or spread (metastasize) to distant areas of the body then the tumor is malignant(cancer). Breast cancer occurs in both women and men. In India the average age is the very great extent of cancer in the age group of 43–46 years unlike in the Western where women aged 53–57 years are more likely to suffer from breast cancer. This paper includes uses of various Data Mining along with neural networks to identify the presence of breast cancer at early stages and diagnose it efficiently.
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