Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset

Yuki Suzuki; Kazuki Yamagata; Masahiro Yanagawa; Shoji Kido; Noriyuki Tomiyama

doi:10.1117/12.2548930

16 March 2020 Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset

Yuki Suzuki, Kazuki Yamagata, Masahiro Yanagawa, Shoji Kido, Noriyuki Tomiyama

Author Affiliations +

Proceedings Volume 11314, Medical Imaging 2020: Computer-Aided Diagnosis; 113142A (2020) https://doi.org/10.1117/12.2548930
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Computer-aided diagnosis system for diffuse lung diseases (DLDs) is necessary for the objective assessment of the lung diseases. In this paper, we develop semantic segmentation model for 5 kinds of DLDs. DLDs considered in this work are consolidation, ground glass opacity, honeycombing, emphysema, and normal. Convolutional neural network (CNN) is one of the most promising technique for semantic segmentation among machine learning algorithms. While creating annotated dataset for semantic segmentation is laborious and time consuming, creating partially annotated dataset, in which only one chosen class is annotated for each image, is easier since annotators only need to focus on one class at a time during the annotation task. In this paper, we propose a new weak supervision technique that effectively utilizes partially annotated dataset. The experiments using partially annotated dataset composed 372 CT images demonstrated that our proposed technique significantly improved segmentation accuracy.

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Yuki Suzuki, Kazuki Yamagata, Masahiro Yanagawa, Shoji Kido, and Noriyuki Tomiyama "Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113142A (16 March 2020); https://doi.org/10.1117/12.2548930

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KEYWORDS

Image segmentation

Lung

Convolutional neural networks

Computed tomography

Machine learning

Computer aided diagnosis and therapy

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