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Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data

Published 11 Apr 2020 in eess.IV, cs.CV, and cs.LG | (2004.05405v1)

Abstract: The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise warnings on what is reasonable to expect by applying deep-learning to COVID classification of CXR images. We provide a methodological guide and critical reading of an extensive set of statistical results that can be obtained using currently available datasets. In particular, we take the challenge posed by current small size COVID data and show how significant can be the bias introduced by transfer-learning using larger public non-COVID CXR datasets. We also contribute by providing results on a medium size COVID CXR dataset, just collected by one of the major emergency hospitals in Northern Italy during the peak of the COVID pandemic. These novel data allow us to contribute to validate the generalization capacity of preliminary results circulating in the scientific community. Our conclusions shed some light into the possibility to effectively discriminate COVID using CXR.

Citations (179)

Summary

Analysis of Formatting Instructions for IEEE Conference Papers

The paper under review provides detailed guidelines for composing and formatting conference papers utilizing the IEEEtran class file in \LaTeX. The objective is to maintain a standardized document format that aligns with IEEE's specifications and contributes effectively to conference proceedings. It serves as a technical manual, ensuring authors adhere to prescribed formatting measures for consistent presentation across conference submissions.

Core Components

The paper organizes its discussion into several sections, each tackling a specific aspect of the formatting process:

  1. Ease of Use: Instructions for maintaining document integrity and preventing any alteration of the IEEEtran class file specifications. This includes guidance on margin and layout configurations that are calibrated for consistency within conference proceedings.
  2. Preparation Before Styling: Suggestions on separating content creation from styling tasks to maximize efficiency in the editing process. Authors are encouraged to finalize their text before applying the complex formatting, ensuring that all proofreading tasks are completed beforehand.
  3. Technical Specifications: Detailed advice emerges throughout the paper on elements such as abbreviations, acronyms, and units. Authors are reminded to define terms upon their first instance within the text and adhere to consistent measurement units. Proper usage of equations is emphasized to promote clarity and conciseness.
  4. Common Errors: An important section identifies general mistakes often found in conference papers, ranging from grammatical issues to content misinterpretations. It serves as a checklist for authors to review before submission, aiming to maximize linguistic accuracy and coherence.
  5. Structural Guidelines: The paper provides specific instructions on organizing content using headings, figures, tables, and citations. It outlines practices for efficient cross-referencing, optimal placement, and labeling, which contribute to a reader-friendly document structure.

Implications and Future Developments

By adhering to these strict formatting guidelines, authors facilitate a standardized presentation that underscores the communicative efficacy of scholarly work. While the instructions are largely technical, they abound with implications for broader adoption of structured formatting in academic writing.

The emphasis on clarity and standardization within the IEEE platform also suggests potential areas for development, especially in automated paper formatting tools integrated with \LaTeX. With the advancement of AI-powered writing assistants, authors could benefit from functionalities that pre-emptively ensure compliance with these guidelines. Enhancing such intelligent systems could reduce the effort required in manually adjusting document settings, providing real-time feedback on adherence to IEEE standards.

Conclusion

This technical manual serves as a pivotal resource for authors aiming to publish within IEEE conferences, providing exhaustive guidance on document preparation and formatting. Its comprehensive nature not only aids in maintaining consistency but also significantly reduces the likelihood of non-compliance that could hinder publication opportunities. As technology evolves, integrating these robust guidelines into AI-driven tools promises a future of streamlined academic writing.

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