Welcome to my Tensorflow CNN-based Brain Tumor Detection notebook. This notebook explores both augmented and unaugmented models to get insight into effective tumor detection. It includes everything ...

Building a detection model using a Convolutional neural network in Tensorflow & Keras. Used a brain MRI images data founded on Kaggle. About the data: The dataset contains 2 folders: yes and no which ...

For this brain tumor prediction challenge, we will utilize the deep learning-based Convolutional Neural Network (CNN ... data is divided into train and test datasets, with 70% of the data used for ...

Abstract: Brain tumors ... Data augmentation techniques effectively address dataset limitations, enabling the training of various CNN architectures such as VGG16, EfficientNetB0, MobileNetV2, and ...

The research article studies the impact of data augmentation, particularly 60˚ rotation, on the performance of a ResNet convolutional neural network (CNN) for brain tumor detection using MRI images. A ...