High-Resolution Ultrasound Data for AI-Based Segmentation in Mouse Brain Tumor.

The dataset provided in the repository consists of 1,856 high-resolution ultrasound images, specifically designed to enhance tumor segmentation in GL261 glioblastoma mouse models. Each image is meticulously annotated, capturing the precise boundaries of the tumors to ensure accuracy in segmentation tasks. The images are grayscale, with binary mask annotations indicating the tumor regions. The dataset has been created using a standardized imaging protocol in collaboration with domain experts to maintain consistency and reliability. This collection serves as a valuable resource for developing and benchmarking AI models aimed at improving the precision of real-time tumor delineation in preclinical studies.