Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain-Reference-Cited by-同舟云学术

Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain

Published:2017-01 Issue: Volume:35 Page:421-433
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Yang Wei,Chen Yingyin,Liu Yunbi,Zhong Liming,Qin Genggeng,Lu Zhentai,Feng Qianjin,Chen Wufan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangdong Provincial Key Laboratory of Medical Image Processing

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference34 articles.

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3. Separation of bones from chest radiographs by means of anatomically specific multiple massive-training ANNs combined with total variation minimization smoothing;Chen;IEEE Trans. Med. Imaging,2014

4. Enhancement of chest radiographs obtained in the intensive care unit through bone suppression and consistent processing;Chen;Phys. Med. Biol,2016

5. Gradient domain layer separation under independent motion;Chen,2009

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