Speckle Noise Removal in Ultrasound Images Using a Deep Convolutional Neural Network and a Specially Designed Loss Function

被引：1
|
作者：
Feng, Danlei [1 ,3 ]
Wu, Weichen [2 ,3 ]
Li, Hongfeng [4 ]
Li, Quanzheng [5 ,6 ]
机构：
[1] Peking Univ, Acad Adv Indisciplinary Studies, Beijing, Peoples R China
[2] Peking Univ, Yuanpei Coll, Beijing, Peoples R China
[3] Beijing Inst Big Data Res, Beijing, Peoples R China
[4] Peking Univ, Ctr Data Sci Hlth & Med, Beijing, Peoples R China
[5] Massachusetts Gen Hosp, Gordon Ctr Med Imaging, Boston, MA 02114 USA
[6] Harvard Med Sch, Boston, MA 02114 USA
来源：
MULTISCALE MULTIMODAL MEDICAL IMAGING, MMMI 2019 | 2020年 / 11977卷
基金：
中国国家自然科学基金;
关键词：
Ultrasound images; Speckle noise removal; Deep neural networks;
D O I：
10.1007/978-3-030-37969-8_11
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The removal of speckle noise in ultrasound images has been the focus of a number of researches. Meanwhile, deep convolutional neural networks (DCNN) has been proved effective for various computer vision tasks, including image classification, segmentation and denoising. In this paper, we apply deep convolutional neural network to remove speckle noise in ultrasound images. Besides, a new hybrid loss function is specially designed for speckle noise removal, which can result in faster and more stable convergence during training. Experiments on synthetic and real Ultrasound images show that the proposed model outperforms other speckle reduction methods.
引用
收藏
页码：85 / 92
页数：8
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