Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain
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- 作者：Wei Yanga ; Yingyin Chena ; Yunbi Liua ; Liming Zhonga ; Genggeng Qinb ; Zhentai Lua ; Qianjin Fenga ; qianjinfeng08@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Wufan Chena
- 关键词：Chest radiography ; Convolutional neural network ; Bone suppression ; Dual-energy subtraction
- 刊名：Medical Image Analysis
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：35
- 期：Complete
- 页码：421-433
- 全文大小：3721 K
文摘
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An effective deep learning method for bone suppression in a single chest radiograph.
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Cascade architecture of deep ConvNets for learning the mapping in the gradient domain.
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Fusing multi-scale bone gradients to improve the prediction quality.
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Producing high-quality and high-resolution bone and soft-tissue images.