通过迁移学习使用集成学习的胸部x线和CT扫描分类

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-06-09 DOI:10.4108/eetsis.vi.382

S. Siddiqui, Neda Fatima, Anwar Ahmad

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引用次数: 3

摘要

2019冠状病毒病给全世界带来了非同寻常的挑战。随着全球新冠肺炎病例数持续攀升，医学专家在正确诊断和预测疾病方面面临着前所未有的挑战。本研究试图开发一种新的有效的胸部x线和CT扫描分类策略，以便将COVID-19与其他疾病区分开来。迁移学习用于训练各种胸部x射线和CT扫描模型，包括Inceptionv3、Xception、InceptionResNetv2、DenseNet121和Resnet50。然后使用集合技术将这些模型集成起来以提高预报精度。本文提出的集成方法在x射线和CT扫描分类和COVID-19预测中更有效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning

COVID-19 has posed an extraordinary challenge to the entire world. As the number of COVID-19 cases continues to climb around the world, medical experts are facing an unprecedented challenge in correctly diagnosing and predicting the disease. The present research attempts to develop a new and effective strategy for classifying chest X-rays and CT Scans in order to distinguish COVID-19 from other diseases. Transfer learning was used to train various models for chest X-rays and CT Scan, including Inceptionv3, Xception, InceptionResNetv2, DenseNet121, and Resnet50. The models are then integrated using an ensemble technique to improve forecast accuracy. The proposed ensemble approach is more effective in classifying X-ray and CT Scan and forecasting COVID-19.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.