Optimizing U-Net architecture with feed-forward neural networks for precise Cobb angle prediction in scoliosis diagnosis

In the burgeoning field of Artificial Intelligence (AI) and its notable subsets, such as Deep Learning (DL), there is evidence of its transformative impact in assisting clinicians, particularly in diagnosing scoliosis. AI is unrivaled for its speed and precision in analyzing medical images, includin...

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Bibliographic Details

Main Authors:	Jamaludin, Mohamad Iqmal, Gunawan, Teddy Surya, Karupiah, Rajandra Kumar, Zabidi, Suriza Ahmad, Kartiwi, Mira, Zakaria@Mohamad, Zamzuri
Format:	Article
Language:	en en
Published:	Institute of Advanced Engineering and Science (IAES) 2023
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/108082/13/108082_Optimizing%20U-Net%20architecture%20with%20feed-forward%20neural%20networks.pdf http://irep.iium.edu.my/108082/19/108082_Optimizing%20U-Net%20Architecture%20with%20Feed-Forward%20Neural%20Networks%20for%20Precise%20Cobb%20Angle%20Prediction%20in%20Scoliosis%20Diagnosis%20_%20SCOPUS.pdf http://irep.iium.edu.my/108082/ http://section.iaesonline.com/index.php/IJEEI/article/view/5009
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