کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8822763 1609721 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand?
ترجمه فارسی عنوان
تجزیه و تحلیل بافت و یادگیری ماشین برای تشخیص گره های مظنون تیروئید و تشخیص سرطان تیروئید: کجا ایستاده ایم؟
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی رادیولوژی و تصویربرداری
چکیده انگلیسی
In thyroid imaging, “texture” refers to the echographic appearence of the parenchyma or a nodule. However, definition of the image characteristics is operator dependent and influenced by the operator's experience. In a more objective texture analysis, a variety of mathematical methods are used to describe image inhomogeneity, allowing assessment of an image by means of quantitative parameters. Moreover, this approach may be used to develop an efficient computer-aided diagnosis (CAD) system to yield a second opinion when differentiating malignant and benign thyroid lesions. The aim of this review is to summarize the available literature data on texture analysis, with and without CAD, in patients with suspected thyroid nodules or differentiated thyroid cancer, and to assess the current state of the approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Radiology - Volume 99, February 2018, Pages 1-8
نویسندگان
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