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MRI Brain Tumor Segmentation Using Bidimensional Empirical Mode Decomposition and Morphological Operations Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Proposing Lung Abnormality Detection Model Using AI

Authors : Phat Nguyen Huu, Bach Le Gia, Bang Nguyen Anh, Dinh Dang Dang, Thanh Le Thi Hai, Quang Tran Minh

Published in: Intelligent Systems and Networks

Publisher: 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.

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Metadata
Title
Proposing Lung Abnormality Detection Model Using AI
Authors
Phat Nguyen Huu
Bach Le Gia
Bang Nguyen Anh
Dinh Dang Dang
Thanh Le Thi Hai
Quang Tran Minh
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Intelligent Systems and Networks

Print ISBN: 978-981-9947-24-9

Electronic ISBN: 978-981-9947-25-6

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-4725-6_6

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