This dataset comprises micro-ultrasound scans and human prostate annotations of 75 patients who underwent micro-ultrasound guided prostate biopsy at the University of Florida. All images and segmentations have been fully de-identified in the NIFTI format. Under the "train" folder, you'll find three subfolders: "micro_ultrasound_scans" contains micro-ultrasound images from 55 patients for training. "expert_annotations" contains ground truth prostate segmentations annotated by our expert urologist. "non_expert_annotations" contains prostate segmentations annotated by a graduate student. In the "test" folder, there are five subfolders: "micro_ultrasound_scans" contains micro-ultrasound images from 20 patients for testing. "expert_annotations" contains ground truth prostate segmentations by the expert urologist. "master_student_annotations" contains segmentations by a master's student. "medical_student_annotations" contains segmentations by a medical student. "clinician_annotations" contains segmentations by a urologist with limited experience in reading micro-ultrasound images. If you use this dataset, please cite our paper: Jiang, Hongxu, et al. "MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images." Computerized Medical Imaging and Graphics (2024): 102326. DOI: https://doi.org/10.1016/j.compmedimag.2024.102326. For any dataset-related queries, please reach out to Dr. Wei Shao: weishao@ufl.edu.