Výsledky vyhledávání - "Sud Sudirman"

Akademický článek

Pulsed Eddy Current signal processing using wavelet scattering and Gaussian process regression for fast and accurate ferromagnetic material thickness measurement

Autor: Sud Sudirman, Friska Natalia, Ali Sophian, Arselan Ashraf

Publikováno v: Alexandria Engineering Journal, Vol 61, Iss 12, Pp 11239-11250 (2022)

Testing the structural integrity of pipelines is a crucial maintenance task in the oil and gas industry. This structural integrity could be compromised by corrosions that occur in the pipeline wall. They could cause catastrophic accidents and are ver

Externí odkaz: https://doaj.org/article/38452bb927ef44d29a2245c8712c068e

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Akademický článek

Automated selection of mid-height intervertebral disc slice in traverse lumbar spine MRI using a combination of deep learning feature and machine learning classifier.

Autor: Friska Natalia, Julio Christian Young, Nunik Afriliana, Hira Meidia, Reyhan Eddy Yunus, Sud Sudirman

Publikováno v: PLoS ONE, Vol 17, Iss 1, p e0261659 (2022)

Abnormalities and defects that can cause lumbar spinal stenosis often occur in the Intervertebral Disc (IVD) of the patient's lumbar spine. Their automatic detection and classification require an application of an image analysis algorithm on suitable

Externí odkaz: https://doaj.org/article/7974c8d925434849828450b1cce2229b

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Akademický článek

PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification

Autor: Liu Liu, Rujing Wang, Chengjun Xie, Po Yang, Fangyuan Wang, Sud Sudirman, Wancai Liu

Publikováno v: IEEE Access, Vol 7, Pp 45301-45312 (2019)

Multi-class pest detection is one of the crucial components in pest management involving localization in addition to classification which is much more difficult than generic object detection because of the apparent differences among pest species. Thi

Externí odkaz: https://doaj.org/article/e91262cce961456883a2a2b1608ff566

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Akademický článek

Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks

Autor: Ala S. Al-Kafri, Sud Sudirman, Abir Hussain, Dhiya Al-Jumeily, Friska Natalia, Hira Meidia, Nunik Afriliana, Wasfi Al-Rashdan, Mohammad Bashtawi, Mohammed Al-Jumaily

Publikováno v: IEEE Access, Vol 7, Pp 43487-43501 (2019)

We propose a methodology to aid clinicians in performing lumbar spinal stenosis detection through semantic segmentation and delineation of magnetic resonance imaging (MRI) scans of the lumbar spine using deep learning. Our dataset contains MRI studie

Externí odkaz: https://doaj.org/article/11e399155d564958baefc73945c16bb7

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Akademický článek

Automated measurement of anteroposterior diameter and foraminal widths in MRI images for lumbar spinal stenosis diagnosis.

Autor: Friska Natalia, Hira Meidia, Nunik Afriliana, Julio Christian Young, Reyhan Eddy Yunus, Mohammed Al-Jumaily, Ala Al-Kafri, Sud Sudirman

Publikováno v: PLoS ONE, Vol 15, Iss 11, p e0241309 (2020)

Lumbar Spinal Stenosis causes low back pain through pressures exerted on the spinal nerves. This can be verified by measuring the anteroposterior diameter and foraminal widths of the patient's lumbar spine. Our goal is to develop a novel strategy for

Externí odkaz: https://doaj.org/article/bbd85c7e245d43c9a62c951133be5c0d

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Akademický článek

Hybrid 3D Rendering of Large Map Data for Crisis Management

Autor: David Tully, Abdennour El Rhalibi, Christopher Carter, Sud Sudirman

Publikováno v: ISPRS International Journal of Geo-Information, Vol 4, Iss 3, Pp 1033-1054 (2015)

In this paper we investigate the use of games technologies for the research and the development of 3D representations of real environments captured from GIS information and open source map data. Challenges involved in this area concern the large data

Externí odkaz: https://doaj.org/article/9d1d2f6eefe94b369f7395e5cade7ff9

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A Semi-automated Method to Measure the Height of Lumbar Intervertebral Discs

Autor: Friska Natalia, Sud Sudirman

Publikováno v: 2022 2nd International Conference on Computers and Automation (CompAuto).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::962f5dec66ecc87f78f8844fd44c6dfd
https://doi.org/10.1109/compauto55930.2022.00013

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The Classification and Segmentation of Fetal Anatomies Ultrasound Image: A Survey

Autor: Chunlin Song, Hong Wang, Haogang Zhu, Sud Sudirman, Tao Gao, Wei Zhang

Publikováno v: Journal of Medical Imaging and Health Informatics. 11:789-802

Ultrasound imaging processing technology has been used in obstetric observation of the fetus and diagnosis of fetal diseases for more than half a century. It contains certain advantages and unique challenges which has been developed rapidly. From the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b6952c859d30153cef4ff77d2a6f9fdb
https://doi.org/10.1166/jmihi.2021.3616

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Classification of Sagittal Lumbar Spine MRI for Lumbar Spinal Stenosis Detection Using Transfer Learning of a Deep Convolutional Neural Network

Autor: Friska Natalia, Sud Sudirman

Publikováno v: Intelligent Sustainable Systems ISBN: 9789811663086
IEEE Explore

Analysis of sagittal lumbar spine MRI images remains an important step in automated detection and diagnosis of lumbar spinal stenosis. There are nu-merous algorithms proposed in the literature that can measure the condition of lumbar intervertebral d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16d325655f4a2ca011ac5ea08bf5f871
https://doi.org/10.1007/978-981-16-6309-3_16

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