Analysis of Bones Abnormality Detection and Segmentation-Reference-Cited by-同舟云学术

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Analysis of Bones Abnormality Detection and Segmentation

Published:2023-11-21 Issue: Volume: Page:592-597
ISSN:
Container-title:2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS)
language:
Short-container-title:

Author:

Ismail Mennat-Allah¹,Mohammed Yasmine¹,Gamal Nadine¹,Hatem Maram¹,Ibrahim Sara²,Abbas Esraa Hamdi³,Mohsen Mayar¹,Nasser Maram¹,Ebied Hala M.⁴

Affiliation:

1. Ain Shams University,Faculty of Computer and Information Sciences,Dept. of Bioinformatics,Cairo,Egypt

2. Ain Shams University,Faculty of Computer and Information Sciences,Dept. Bioinformatics,Cairo,Egypt

3. Ain Shams University,Faculty of Computer and Information Sciences,Information System Department,Cairo,Egypt

4. Ain Shams University,Faculty of Computer and Information Sciences,Scientific Computing Department,Cairo,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391089/10391083/10391116.pdf?arnumber=10391116

Reference15 articles.

1. A Two-Stage Method for Bone X-Rays Abnormality Detection Using MobileNet Network

2. X-Ray Bone Abnormalities Detection Using MURA Dataset;Solovoya,2020

3. Automatic Detection of Wrist Fractures From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach

4. Abnormality Detection from X-Ray Bone Images using DenseNet Convolutional Neural Network

5. Mura: Large dataset for abnormality detection in musculoskeletal radiographs;Rajpurkar,2017

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