UNet with Two-Fold Training for Effective Segmentation of Lung Section in Chest X-Ray

被引：0

作者：

Rajinikanth, Venkatesan ^{[1
]}

Kadry, Seifedine ^{[1
]}

Damasevicius, Robertas ^{[2
]}

Gnanasoundharam, J. ^{[3
]}

Abed Mohammed, Mazin ^{[4
]}

Glan Devadhas, G. ^{[5
]}

机构：

[1] Noroff University College, Faculty of Applied Computing and Technology, Kristiansand,94612, Norway

[2] Silesian University of Technology, Faculty of Applied Mathematics, Gliwice,44-100, Poland

[3] St. Joseph's College of Engineering Omr, Department of Electronics and Instrumentation Engineering, Chennai,600119, India

[4] University of Anbar, College of Computer Science and Information Technology, Ramadi,31001, Iraq

[5] Vimal Jyothi Engineering College, Department of Electronics and Instrumentation Engineering, Chemperi, India

来源：

Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022 | 2022年

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D O I：

暂无

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摘要：

Biological organs - Convolutional neural networks - Diagnosis - Image segmentation - Medical imaging

引用

页码：977 / 981