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

机译:具有图像处理技术和良性恶性区别的乳房X线图的质量检测

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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,它旨在确定乳腺照片中的肿块和肿块是否旨在确定良性或恶性。首先;在国际形象的MIAS(乳房X光图像分析学会)数据库中进行了预处理。用适当的阈值实施质量分离。然后,对Beter Somggation进行形态过滤。在分类阶段,使用标准不规则的肿瘤和周围区域覆盖的区域是善与恶之间的任何区别。在做出的研究中观察到更不规则的恶性肿瘤环境,其区域重视某些限制。通过使用此值,分段区域被归类为良性和恶性。

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