乳腺癌诊断方法分析
An Analysis of the Methods Employed for Breast Cancer Diagnosis
摘要：
在过去的十年里，乳腺癌的研究是巨大的。突破性的创新和新方法有助于早期发现，设置治疗阶段和评估患者对治疗的反应。癌症复发的预测对患者的生存也至关重要。本文研究了用于诊断乳腺癌的各种技术。探讨了各种方法在乳腺病变诊断中的优缺点。有些方法尚未得到证实，但研究看起来非常令人鼓舞。据发现，最近使用的人工神经网络的组合在大多数情况下给出了准确的结果，用于诊断乳腺癌，其使用也可以扩展到其他疾病。
英文摘要：
Breast cancer research over the last decade has been tremendous. The ground breaking innovations and novel methods help in the early detection, in setting the stages of the therapy and in assessing the response of the patient to the treatment. The prediction of the recurrent cancer is also crucial for the survival of the patient. This paper studies various techniques used for the diagnosis of breast cancer. Different methods are explored for their merits and de-merits for the diagnosis of breast lesion. Some of the methods are yet unproven but the studies look very encouraging. It was found that the recent use of the combination of Artificial Neural Networks in most of the instances gives accurate results for the diagnosis of breast cancer and their use can also be extended to other diseases.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
