Brain Tumor Detection with Transfer Learning
9 Citations•2021•
Padmavathi Kora, Shoaib Mohammed, Maddela John Surya Teja
2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
Three transfer learning based architectures VGG-16, Inception-v3 and Xception models are tried for the binary classification and accuracy and the results convey that V GG-16 architecture acheives better accuracy showing 98.16.
Abstract
The prime motive behind the proposed deep nueral network framework is to use MRI scans for the tumor detection. Three transfer learning based architectures VGG-16, Inception-v3 and Xception models are tried for the binary classification and accuracy is used to evaluate the performance. The results convey that VGG-16 architecture acheives better accuracy showing 98.16