Integrating VGG-16 And CNN ForBrain Tumor Detection
Authors:
Seelam Keerthi, Yeruva Pravalika ,Dugyala Srinitha ,G Yogesh
Page No: 526-532
Abstract:
Advancements in medical technology have significantly altered the landscape of healthcare, especially in diagnostic capabilities. This project focuses on leveraging Convolutional Neural Network (CNN) technology, specifically the VGG16 architecture, for the detection of brain cancer. CNNs are renowned for their prowess inanalyzing visual data, making them ideal for scrutinizing Brain Magnetic Resonance Imaging (MRI) datasets to identify tumors accurately.
Description:
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Volume & Issue
Volume-13,Issue-4
Keywords
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