Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification
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- 作者：Wei Shena ; b ; wei.shen@ia.ac.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Mu ZhoucAuthor Vitae ; Feng Yangd ; fengyang@bjtu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Dongdong Yua ; bAuthor Vitae ; Di Donga ; bAuthor Vitae ; Caiyun Yanga ; bAuthor Vitae ; Yali Zanga ; bAuthor Vitae ; Jie Tiana ; b ; tian@ieee.org" class="auth_mail" title="E-mail the corresponding author ; Author Vitae
- 关键词：Lung nodule ; Malignancy suspiciousness ; Convolutional neural network ; Multi-crop pooling
- 刊名：Pattern Recognition
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：61
- 期：Complete
- 页码：663-673
- 全文大小：1358 K
文摘
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A novel MC-CNN model is proposed to classify lung nodule malignancy suspiciousness.
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Our MC-CNN extracts multi-scale nodule salient features within a single network.
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The proposed method does not rely on nodule segmentation or hand-crafted features.
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Performance is evaluated and validated on LIDC-IDRI dataset.
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Potential nodule relevant applications of the proposed method are provided.
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