A Comprehensive Review of Automatic Brain Tumor Detection using Convolutional Neural Networks (CNNs)

Registration ID: IJNRD_207810

Published ID: IJNRD2310386

DOI: Click Here to Get

Prof. Usha L. Barad

Deep Neural Network, Brain Tumor, Magnetic Resonance Imaging (MRI), Datasets, Filter, CNN

Medical science has incredibly grown and become Successful in modern years. Technology is altering the world of medicine. The main objective of our project is to detect the brain tumour by using Convolutional Neural Network (CNN). A Convolutional Neural Network is a classification of deep neural networks. CNN is mainly used for Image Processing, by which we will capture the image and compress it. The tumor detection is major challenging task in brain tumor quantitative evaluation. In recent years, owing to non-invasive and strong soft tissue comparison, Magnetic Resonance Imaging (MRI) has gained great interest. MRI is a commonly used image modality technique to locate brain tumors. An immense amount of data is produced by the MRI. The goal of brain tumor segmentation is to generate accurate delineation of brain tumor regions. In recent years, deep learning methods have shown promising performance in solving various computer vision problems, such as image classification, object detection and semantic segmentation. A number of deep learning based methods have been applied to brain tumor segmentation and achieved promising results. Considering the remarkable breakthroughs made by state-of-the-art technologies, we provide this survey with a comprehensive study of recently developed deep learning based brain tumor segmentation techniques. More than 120 scientific papers are selected and discussed in this survey, extensively covering technical aspects such as network architecture design, segmentation under imbalanced conditions, and multi-modality processes. We also provide insightful discussions for future development directions.

Published Paper   E-Certificate

Prof. Usha L. Barad (October-2023). A Comprehensive Review of Automatic Brain Tumor Detection using Convolutional Neural Networks (CNNs). INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), d633-d642. https://ijnrd.org/papers/IJNRD2310386.pdf

Volume 8 Issue 10, October-2023

Pages : d633-d642

Paper Reg. ID: IJNRD_207810

Published Paper Id: IJNRD2310386

Downloads: 000121982

Research Area: Engineering

Country: PALANPUR, GUJARAT, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310386.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310386

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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