Mammographic mass detection based on robust learning algorithms

TL;DRAbstract

Automatic processing of medical images is a promising research topic that has attracted much attention. The automatic processing of mammograms, which plays an important role in the screening and diagnosis of breast cancer, is investigated in this thesis. The ability of automatically processing a large number of digital mammograms can relieve the radiologists from the burden of time-consuming work. This thesis focuses on developing machine learning algorithms of image segmentation and pattern recognition as a means for breast mass detection in digitized mammograms.

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