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Erschienen in:
2023 | OriginalPaper | Buchkapitel
Proposing Lung Abnormality Detection Model Using AI
verfasst von : Phat Nguyen Huu, Bach Le Gia, Bang Nguyen Anh, Dinh Dang Dang, Thanh Le Thi Hai, Quang Tran Minh
Erschienen in: Intelligent Systems and Networks
Verlag: Springer Nature Singapore
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Abstract
The diagnostic imaging industry in many countries is currently severely under-resourced. The reason is that people know about it is not too much. Besides, the demand for radiologists has increased because of the impact of the Covid-19 epidemic. There are situations that the general practitioner or the clinician must diagnose x-rays. Therefore, the article proposes a solution to save time by assisting doctors in diagnosing problems by giving suggestions on abnormal areas and creating an AI application to recognize images that can be detected abnormal areas or not. The results show that although the accuracy of the proposed solution only achieves about 30% due to the small number of samples, it promises to be highly feasible when applied in practice.