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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
ANALYSIS OF OPTIMIZATION FUNCTIONS FOR CHEST CT IMAGE SUPER RESOLUTION USING DEEP LEARNING
Authors
P Rajeshwari, K Shyamala
Keywords
Deep Learning, Optimization functions, PSNR, SRCNN, TCIA
Abstract
Deep learning leverages optimization functions to minimize the loss function while training a neural network. Several optimization functions are prevalent in deep learning for this purpose, such as SGD, Adagrad, RMSProp, Adam, Adamax, ASGD (Average Stochastic Gradient Descent). Selection of best optimization functions helps to avoid under-fitting or over-fitting situations and helps to converge training faster. All the optimization functions were trained and tested on SRCNN model. This paper addresses the problem of selecting the best optimization function as one of the hyper parameters to train the SRCNN model for TCIA NSCLC chest CT images to enhance the quality of LR chest CT images into Super Resolved images. The experimental results show that Adam is the best optimization function with better PSNR values
IJCRT's Publication Details
Unique Identification Number - IJCRT2310355
Paper ID - 245248
Page Number(s) - d173-d179
Pubished in - Volume 11 | Issue 10 | October 2023
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.36543
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
P Rajeshwari, K Shyamala, "ANALYSIS OF OPTIMIZATION FUNCTIONS FOR CHEST CT IMAGE SUPER RESOLUTION USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 10, pp.d173-d179, October 2023, Available at :http://www.ijcrt.org/papers/IJCRT2310355.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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