Brain Tumor Detection using Convolutional Neural Networks
OtherImageClassification
This project involved classifying MRI brain images as tumor or non-tumor using a convolutional neural network. I carried out comprehensive image preprocessing, data augmentation, and manual review of labeled data for training. The annotation process aimed to improve the quality and accuracy of the dataset used for model development.
• Labeled medical images for tumor presence
• Augmented and curated imaging data for improved model learning
• Reviewed and corrected image labels as needed
• Employed Python and TensorFlow in the data pipeline
This project involved classifying MRI brain images as tumor or non-tumor using a convolutional neural network. I carried out comprehensive image preprocessing, data augmentation, and manual review of labeled data for training. The annotation process aimed to improve the quality and accuracy of the dataset used for model development. • Labeled medical images for tumor presence • Augmented and curated imaging data for improved model learning • Reviewed and corrected image labels as needed • Employed Python and TensorFlow in the data pipeline
Not specified