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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 9
2872-2875,2880

Pulmonary nodule detection via hybrid loss based joint fine-tuning and multi-scale classification

Yao Yujin
Zhang Li
Dept. of Electronic Engineering, Tsinghua University, Beijing 100084, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0153

Abstract

To solve the problem that lung nodule automatic detection methods for CT images can only get low sensitivities with a lot of false positives, this paper proposed an integrated method with hybrid loss based 3D fully convolutional network as candidate detection and attention-based multi-scale residual network as nodule classification. Firstly, this paper established a 3D fully convolutional network based on dice coefficient loss, and the network filtered hard negative samples uniting with positives to fine-tune. Then, it designed an attention based multi-scale 3D residual convolutional network to classify the candidate and recognize true nodules. Experiment results on the LUNA16 dataset show that the proposed method achieves the sensitivity of 97.18% at 59.1 false positives per scan in the candidate detection stage, and the whole system achieves the average sensitivity of 0.880, which demonstrates this proposed method can improve sensitivity with fewer false positives and achieve superior performance.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0153
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Technology of Graphic & Image
Pages: 2872-2875,2880
Serial Number: 1001-3695(2019)09-067-2872-04

Publish History

[2019-09-05] Printed Article

Cite This Article

姚宇瑾, 张利. 基于混合损失联合调优与多尺度分类相结合的肺结节检测算法 [J]. 计算机应用研究, 2019, 36 (9): 2872-2875,2880. (Yao Yujin, Zhang Li. Pulmonary nodule detection via hybrid loss based joint fine-tuning and multi-scale classification [J]. Application Research of Computers, 2019, 36 (9): 2872-2875,2880. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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