Annals of neurosciences
Comparative Analysis of Transfer Learning Based Residual Networks for the Brain Tumours Detection
By Maurya B, Hiranwal S and Saxena A.
Abstract
Background
Brain tumours are critical disease and require an accurate and reliable method to detect the tumours. Therefore, many researchers are opting for deep learning models to classify brain tumours precisely for large and complex data sets.
Purpose
This study explores the usage and performance of deep learning models, ResNet50 and ResNet101, for identifying multi-class brain tumours from 7,023 magnetic resonance imaging (MRI) sourced from Kaggle.