Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans

Chih Chung Hsu, Chih Yu Jian, Chia Ming Lee, Chi Han Tsai, Shen Chieh Tai

研究成果: Conference contribution

摘要

This paper presents a study using deep learning models to analyze lung Computed Tomography (CT) images. Traditionally used for this task, deep learning frameworks face compatibility issues due to the variances in CT image slice numbers and resolutions caused by the use of different machines. Typically, individual slices are predicted and combined to obtain the final result, but this approach lacks slice-wise feature learning and ultimately leads to decreased performance. To address this limitation, we propose a novel slice selection method for each CT dataset, effectively filtering out uncertain slices and enhancing the model's performance. Moreover, we introduce a spatial-slice feature learning technique that uses a conventional and efficient backbone model for slice feature training. We then extract one-dimensional data from the trained COVID and non-COVID classification models by employing a dedicated classification model. Leveraging these experimental steps, we integrate one-dimensional features with multiple slices for channel merging and employ a 2D convolutional neural network for classification. In addition to the aforementioned methods, we explore various high-performance classification models, ultimately achieving promising results.

原文English
主出版物標題ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350302615
DOIs
出版狀態Published - 2023
事件2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023 - Rhodes Island, Greece
持續時間: 2023 6月 42023 6月 10

出版系列

名字ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings

Conference

Conference2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023
國家/地區Greece
城市Rhodes Island
期間23-06-0423-06-10

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 聲學與超音波
  • 電腦網路與通信
  • 資訊系統
  • 訊號處理

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