A Review on Magnetic Resonance Spectroscopy for Clinical Diagnosis of Brain Tumour using Deep Learning-Reference-Cited by-同舟云学术

A Review on Magnetic Resonance Spectroscopy for Clinical Diagnosis of Brain Tumour using Deep Learning

Published:2021-12-17 Issue: Volume: Page:
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Container-title:2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
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Author:

Rajeev S.K.¹,Rajasekaran M. Pallikonda¹,Krishna Priya R.²,Al Bimani Ali³

Affiliation:

1. Kalasalingam Univeristy,Department of Electronics & Commnication Engineering,Madurai,TamilNadu,India

2. National Univerisity of Science and Technology,Department of Electrical & Commnication Engineering,Sultanate of Oman

3. National Univerisity of Science and Technology,Sultanate of Oman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9725360/9725386/09725561.pdf?arnumber=9725561

Reference29 articles.

1. Semi – Blind spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification;ferdowsi;IEEE Transactions on Biomedical Engineering,2018

2. Incorporation of a spectral model in a convolutional neural network for accelerated spectral fitting

3. Intact metabolite spectrum mining by deep learning in proton magnetic resonance spectroscopy of the brain

4. Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning

5. Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning

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