Micro-Ultrasound Prostate Segmentation Dataset

Creators

• Shao, Wei (Contact person)
• Brisbane, Wayne (Data collector)

Description

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.

Citation

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.

Contact

For any dataset-related queries, please reach out to Dr. Wei Shao: weishao@ufl.edu.