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首页> 外文期刊>NanoBioscience, IEEE Transactions on >Breast Cancer Ultrasound Images' Sequence Exploration Using BI-RADS Features' Extraction: Towards an Advanced Clinical Aided Tool for Precise Lesion Characterization
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Breast Cancer Ultrasound Images' Sequence Exploration Using BI-RADS Features' Extraction: Towards an Advanced Clinical Aided Tool for Precise Lesion Characterization

机译:使用BI-RADS功能的提取技术进行乳腺癌超声图像的序列探索:寻求一种先进的临床辅助工具,用于精确的病灶表征

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摘要

This research concerned a clinical need for precise breast cancer lesion characterization imaged by ultrasound sequences. Using therefore BI-RADS features that would be carefully extracted, the purpose of this study could be mainly to prove and to demonstrate the possibility of surveying precisely the changing characteristics of a breast cancer lesion within a considered ultrasound images' sequence. This was in fact a clinical need of a computer aided diagnosis (CAD) system permitting flexible and convivial clinical analysis of multi-slices' ultrasound breast cancer lesion with greater precision. The obtained results of our images' sequence breast cancer ultrasound analysis had shown the lesion form changing depending on the treated slice, as well as the values' differences for the morphological and the textural features. This would allow extracting more information about breast cancer lesions helping then radiologist to converge more rapidly and with a certain reinforced precision to the accurate clinical action to conduct. Such results would be reassembled and rearranged for constituting one computer aided diagnosis (CAD) system that could be provided for clinical explorations permitting on the other hand to avoid possible confusion between benign and malignant masses.
机译:这项研究涉及对通过超声序列成像的精确乳腺癌病变特征的临床需求。因此,使用将被仔细提取的BI-RADS特征,本研究的目的可能主要是证明并证明在所考虑的超声图像序列内精确测量乳腺癌病变变化特征的可能性。实际上,这是计算机辅助诊断(CAD)系统的临床需求,该系统允许以更高的精度对多层超声乳癌病变进行灵活,生动的临床分析。我们的图像序列乳腺癌超声分析获得的结果表明,病变形式随所治疗的切片而变化,并且其形态和纹理特征值也有所不同。这将允许提取有关乳腺癌病变的更多信息,从而帮助放射科医生更快地收敛,并以一定的增强精度收敛到要执行的准确临床动作。这样的结果将被重新组装和重新排列,以构成一个计算机辅助诊断(CAD)系统,该系统可用于临床研究,另一方面可避免良性和恶性肿块之间的混淆。

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