Work

Duke Spleen Data Set

Year: 2023

Type: dataset

Abstract: CT and MRI images with associated binary spleen segmentation masks; includes axial and coronal images, MRI includes SSFSE and T1w opposed phase contrasts; includes a range of normal and abnormal spleen sizes and shapes in the setting of chronic liver disease.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7636639

Authors: Wang, Yuqi, Macdonald, Jacob A., Morgan, Katelyn, Hom, Danielle, Cubberley, Sarah, Sollace, Kassi, Casasanto, Nicole, Zaki, Islam H., Lafata, Kyle J., Bashir, Mustafa R.

Institutions: Duke University, Duke Medical Center

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393728668

Cites:

Cited by:

Related to: 10