University of Engineering and Management, Kolkata, India.
School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India.
Comput Math Methods Med. 2021 Oct 6;2021:9905808. doi: 10.1155/2021/9905808. eCollection 2021.
Breast cancer is a strong risk factor of cancer amongst women. One in eight women suffers from breast cancer. It is a life-threatening illness and is utterly dreadful. The root cause which is the breast cancer agent is still under research. There are, however, certain potentially dangerous factors like age, genetics, obesity, birth control, cigarettes, and tablets. Breast cancer is often a malignant tumor that begins in the breast cells and eventually spreads to the surrounding tissue. If detected early, the illness may be reversible. The probability of preservation diminishes as the number of measurements increases. Numerous imaging techniques are used to identify breast cancer. This research examines different breast cancer detection strategies via the use of imaging techniques, data mining techniques, and various characteristics, as well as a brief comparative analysis of the existing breast cancer detection system. Breast cancer mortality will be significantly reduced if it is identified and treated early. There are technological difficulties linked to scans and people's inconsistency with breast cancer. In this study, we introduced a form of breast cancer diagnosis. There are different methods involved to collect and analyze details. In the preprocessing stage, the input data picture is filtered by using a window or by cropping. Segmentation can be performed using -means algorithm. This study is aimed at identifying the calcifications found in bosom cancer in the last phase. The suggested approach is already implemented in MATLAB, and it produces reliable performance.
乳腺癌是女性癌症的一个强烈危险因素。每 8 个女性中就有 1 个患有乳腺癌。这是一种危及生命的疾病，非常可怕。导致乳腺癌的根本原因仍在研究中。然而，有一些潜在的危险因素，如年龄、遗传、肥胖、避孕药、香烟和药片。乳腺癌通常是一种恶性肿瘤，始于乳腺细胞，最终扩散到周围组织。如果早期发现，疾病可能是可逆的。随着测量次数的增加，保存的可能性会降低。有许多成像技术可用于识别乳腺癌。这项研究通过使用成像技术、数据挖掘技术和各种特征，以及对现有的乳腺癌检测系统进行简要的比较分析，探讨了不同的乳腺癌检测策略。如果早期发现并治疗，乳腺癌的死亡率将显著降低。扫描技术存在困难，而且人们对乳腺癌的认识不一致。在这项研究中，我们引入了一种乳腺癌诊断方法。有不同的方法涉及到收集和分析细节。在预处理阶段，使用窗口或裁剪对输入数据图像进行滤波。可以使用 -means 算法进行分割。本研究旨在识别乳腺癌症后期发现的钙化。该方法已经在 MATLAB 中实现，并且产生了可靠的性能。
