Efficient Data Splitting for Deep Learning Training: Organize and Optimize Your image Dataset
Efficient dataset splitting is crucial in medical image analysis to optimize model performance, enable rigorous evaluation, and promote reproducible research. This article presents a concise code snippet that automates the process of organizing medical imaging datasets into train, test, and validation sets, ensuring proper utilization of limited data, rigorous evaluation, and streamlined workflow for developing accurate machine learning models in healthcare. click here to read more
