IJFANS International Journal of Food and Nutritional Sciences
ISSN PRINT 2319 1775 Online 2320-7876
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Effect of Biostimulants (Azospirillum, Pseudomonas and Bacillus) on the growth and disease suppression of neem Azadirachta indica (A) juss.seedlings
Volume 13 | Issue 4
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“Pigments of Imagination & Color Psychology of Consumers towards Apparel: A Perceptual Study”
Volume 13 | Issue 4
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Exploring The Relationship Between Weather Patterns and Energy Consumption in Smart Homes: A Regression Analysis
Volume 13 | Issue 4
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DEEP LEARNING BASED APPROACH FOR BIRD SPECIES IDENTIFICATION AND CLASSIFICATION
Volume 13 | Issue 4
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ML-DRIVEN WASTE CLASSIFICATION FOR EFFECTIVE ORGANIC AND NON-ORGANIC WASTE MANAGEMENT
Volume 13 | Issue 4
MRI IMAGE CLASSIFICATION FOR DETECTING BRAIN TUMOR USING DEEP NEURAL NETWORK
Main Article Content
Abstract
Brain tumor identification is really challenging task in early stages of life. But now, it became advanced with various machine learning and deep learning algorithms. Nowadays, brain tumor automatic identification is of great interest. To detect the brain tumor, the MRI images of patient’s are used.
