A Composite Dataset of Lumbar Spine Images with Mid-Sagittal View Annotations and Clinically Significant Spinal Measurements-Reference-Cited by-同舟云学术

A Composite Dataset of Lumbar Spine Images with Mid-Sagittal View Annotations and Clinically Significant Spinal Measurements

Published:2022-05-24 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
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Author:

Masood Rao Farhat¹,Hassan Taimur²,Raja Hina³,Hassan Bilal⁴,Dias Jorge⁴,Werghi Naoufel²

Affiliation:

1. NUST,CUST, Islamabad, & College of EME,Department of Electrical Engineering,Rawalpindi,Pakistan

2. Khalifa University,C2PS and KUCARS,Department of Electrical Engineering and Computer Science,Abu Dhabi,United Arab Emirates

3. College of EME, NUST,BIOMISA Lab,Department of Computer and Software Engineering,Rawalpindi,Pakistan

4. Khalifa University,KUCARS,Department of Electrical Engineering and Computer Science,Abu Dhabi,United Arab Emirates

Funder

Department of Education and Knowledge

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9787390/9787393/09787452.pdf?arnumber=9787452

Reference44 articles.

1. Four challenges in medical image analysis from an industrial perspective

2. Auto-mated segmentation and quantification of drusens in fundus and optical coherence tomography images;khalid;Journal of Digital Imaging,2017

3. Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression;raja;IEEE Transactions on Biomedical Engineering,2020

4. Automated Retinal Edema Detection from Fundus and Optical Coherence Tomography Scans

5. BIOMISA Retinal Image Database for Macular and Ocular Syndromes;hassan;International Conference on Image Analysis and Recognition (ICIAR),2018

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