超声图像模态中的深度学习技术简介

M. Rai, Priyanka Datta, Reda Ansari
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引用次数: 1

摘要

深度学习是近年来发展迅速的医学图像分析领域。超声(US)已发展成为临床上最常用的成像方式之一。虽然它是一项快速发展的技术,但它也面临着成像质量低和高可变性等挑战。因此,希望逐步开发用于诊断的超声图像自动分析技术。如今,深度学习也被广泛用于分析许多美国图像。在这篇综述中,我们调查了用于分类、检测和分割的不同深度学习技术,以及深度学习在美国图像分析中的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Introduction to Deep Learning Techniques in Ultrasound Image Modality
Deep learning has recently developed as quickly rising field for the analysis of different medical images. Ultrasound (US) has developed as one of the most frequently clinically used imaging modalities. Although, it is a quickly developing technology but it also has challenges like low imaging quality and high variability. So, it is desirable to progressively develop techniques for automatic analysis of US images for diagnosis. Now a days, Deep learning is also widely used technique for analysis of many US images. In this review, we surveyed different deep learning techniques used for classification, detection, and segmentation along with the challenges of deep learning in US image analysis.
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