Artificial Intelligence Computer-Aided Diagnosis to automatically predict the Pediatric Wrist Trauma using Medical X-ray Images-Reference-Cited by-同舟云学术

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Artificial Intelligence Computer-Aided Diagnosis to automatically predict the Pediatric Wrist Trauma using Medical X-ray Images

Published:2023-11-23 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS)
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Author:

Erzen Elif Merve¹,BÜtÜn Ertan¹,Al-Antari Mugahed A.²,Saleh Radhwan A. A.³,Addo Daniel⁴

Affiliation:

1. Fırat University,Department of Computer Engineering,Elazığ,Turkey

2. Sejong University,Department of Artificial Intelligence,Seoul,Korea

3. Kocaeli University,Department of Mechatronics Engineering,Kocaeli,Turkey

4. University of Electronic Science and Technology of China,School of Information and Software Engineering,Chengdu,China

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391284/10391096/10391582.pdf?arnumber=10391582

Reference16 articles.

1. A Siamese-based Network for the Detection of Osteopenia in Paediatric Digital X-rays of the Wrist

2. DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images;Dibo;arXiv preprint arXiv:2308.12727,2023

3. Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm

4. Enhancing X-ray-Based Wrist Fracture Diagnosis Using HyperColumn-Convolutional Block Attention Module

5. A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning

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