Medical Image Classification Project
ImageClassification
I built and trained a deep learning model to detect Alzheimer's disease utilizing Convolutional Neural Networks for medical image classification. I performed data augmentation on medical images to enhance the robustness of the model. The project involved training and validating models with TensorFlow/Keras on a curated image dataset.
• Classified images for signs of Alzheimer's disease
• Used data augmentation to diversify training data
• Applied deep learning (CNN) methods for enhanced detection
• Leveraged TensorFlow/Keras throughout the labeling and training process.
I built and trained a deep learning model to detect Alzheimer's disease utilizing Convolutional Neural Networks for medical image classification. I performed data augmentation on medical images to enhance the robustness of the model. The project involved training and validating models with TensorFlow/Keras on a curated image dataset. • Classified images for signs of Alzheimer's disease • Used data augmentation to diversify training data • Applied deep learning (CNN) methods for enhanced detection • Leveraged TensorFlow/Keras throughout the labeling and training process.
2026 - 2026