【摘 要】
：
The development of Computer-Aided Diagnosis (CAD) systems has reached the point where extremely valuable information is offered to the clinician, for the pr
【机 构】
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Siemens Healthcare Research Center Portugal
【出 处】
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(BITs 3rd Annual World Cancer Congress-2010, Breast Cancer C
论文部分内容阅读
The development of Computer-Aided Diagnosis (CAD) systems has reached the point where extremely valuable information is offered to the clinician, for the precocious detection and classification of abnormalities related with breast cancer.This work pioneers the use of self-similarity models that can be applied to the critical problem of breast cancer early detection, through different imaging modalities as Mammography, Digital Breast Tomosynthesis, and Magnetic Resonance Imaging of the Breast.The main premise of this research was related to the fact that human tissue is characterized by a high degree of self-similarity.That property has been found in medical images of breasts,through a qualitative appreciation of the existing multifractal nature, by analyzing their fluctuations at different resolutions.Experience helps the radiologist to know what to look for when reading a mammogram: opacity near the mammary duct, the opacity shape, the tissue surrounding the opacity or nipple alterations in the surrounding area.
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