Micro-Ultrasound Prostate Segmentation Dataset

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:  [e-mail].