Automated analysis of spinal MRI using deep learning

Automated analysis of spinal MRI using deep learning

<p>The objective of this thesis is the automation of radiological gradings in spinal lumbar Magnetic Resonance Images (MRIs). Solving this is extremely beneficial as this in a way would help in the standardization of gradings especially for back pain research. The output of the research done i...

Deskribapen osoa

Xehetasun bibliografikoak
Egile nagusia:	Jamaludin, M
Beste egile batzuk:	Kadir, T
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	2017

Antzeko izenburuak

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Automated detection, labelling and radiological grading of clinical spinal MRIs
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Automated detection, labelling and radiological grading of clinical spinal MRIs
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Benign and malignant diagnosis of spinal tumors based on deep learning and weighted fusion framework on MRI
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Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI
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MRI radiomics based on deep learning automated segmentation to predict early recurrence of hepatocellular carcinoma
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Automated analysis of heterogeneous catalyst materials using deep learning
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Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support
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Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI
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Automated measurement of anteroposterior diameter and foraminal widths in MRI images for lumbar spinal stenosis diagnosis.
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Argitaratua: (2020-01-01)

Anatomical and functional analysis of cardiac MRI scans using deep learning
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A patch-based deep learning MRI segmentation model for improving efficiency and clinical examination of the spinal tumor
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Automated riverbed composition analysis using deep learning on underwater images
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Empirical Analysis of Automated Stock Trading Using Deep Reinforcement Learning
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