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Mass detection on mammograms with image processing techniques and benign-malignant distinction

机译:使用图像处理技术对乳房X线照片进行质量检测和良恶性区分

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In this study, it is aimed the determination of the masses and the masses in mammograms whether benign or malignant is intended to determine. Firstly; was carried out preprocessing on MIAS(Mammogram Image Analysis Society) database of international images. Mass separation was implemented with an appropriate threshold value. Then, Morphological filtering was performed for beter seggmentation. At classification phase, the area covered by the tumor and surrounding area using the criteria irregularity was any distinction between good and evil. At made research were observed more irregular environment of malignant tumors and their areas values certain limits. By using this values, segmented areas are classified as benign and malignant.
机译:在这项研究中,旨在确定乳腺肿块和乳房X线照片中的肿块是要确定是良性还是恶性。首先;在国际图像的MIAS(乳房图像分析协会)数据库上进行了预处理。使用合适的阈值进行质量分离。然后,进行形态学过滤以分离啤酒。在分类阶段,使用标准不规则性肿瘤覆盖的区域和周围区域是善与恶之间的任何区别。在进行的研究中观察到恶性肿瘤的环境更加不规则,并且其面积值具有一定的限制。通过使用此值,将分割区域分为良性和恶性。

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