2ST-UNet: 2-Stage Training Model using U-Net for Pneumothorax Segmentation in Chest X-Rays-Reference-Cited by-同舟云学术

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2ST-UNet: 2-Stage Training Model using U-Net for Pneumothorax Segmentation in Chest X-Rays

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 International Joint Conference on Neural Networks (IJCNN)
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Author:

Abedalla Ayat,Abdullah Malak,Al-Ayyoub Mahmoud,Benkhelifa Elhadj

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9200848/9206590/09207268.pdf?arnumber=9207268

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pneumothorax: Lung Segmentation and Disease Classification Using Deep Neural Networks;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

2. DENSE SWIN-UNET: DENSE SWIN TRANSFORMERS FOR SEMANTIC SEGMENTATION OF PNEUMOTHORAX IN CT IMAGES;Journal of Mechanics in Medicine and Biology;2023-08-30

3. Multi-class Tissue Segmentation of CT images using an Ensemble Deep Learning method;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

4. MRI-Based End-To-End Pediatric Low-Grade Glioma Segmentation and Classification;Canadian Association of Radiologists Journal;2023-07-04

5. Data augmentation for medical imaging: A systematic literature review;Computers in Biology and Medicine;2023-01

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