Performance Comparison of Deep Learning Approach for Automatic CT Image Segmentation by Using Window Leveling-Reference-Cited by-同舟云学术

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Performance Comparison of Deep Learning Approach for Automatic CT Image Segmentation by Using Window Leveling

Published:2021-11-19 Issue: Volume: Page:
ISSN:
Container-title:2021 13th Biomedical Engineering International Conference (BMEiCON)
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Author:

Apivanichkul Kamonchat¹,Phasukkit Pattarapong²,Dankulchai Pittaya³

Affiliation:

1. King Mongkut’s Institute of Technology Ladkrabang,School of Engineering,Department of Biomedical Engineering,Bangkok,Thailand

2. King Mongkut’s Institute of Technology Ladkrabang,School of Engineering,Department of Electronics Engineering,Bangkok,Thailand

3. Mahidol University,Divison of Radiology Oncology, Faculty of Medicine Siriraj Hospital,Department of Radiology,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745197/9745198/09745252.pdf?arnumber=9745252

Reference14 articles.

1. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

2. Boundary-weighted domain adaptive neural network for prostate mr image segmentation;zhu;IEEE Transactions on Medical Imaging,2019

3. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

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1. The Effect of Preprocessing on U-Net for Bladder Segmentation in CT Images;2023 8th International STEM Education Conference (iSTEM-Ed);2023-09-20

2. Enhanced Deep-Learning-Based Automatic Left-Femur Segmentation Scheme with Attribute Augmentation;Sensors;2023-06-19

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