TY - DATA T1 - Data underlying the MSc thesis: Deep learning segmentation of 3D ultrasound thyroid imaging PY - 2023/10/03 AU - Roxane Munsterman UR - DO - 10.4121/265d24f7-a02f-43bd-9807-aa731dad6431.v1 KW - matrix transducer KW - 3D ultrasound KW - medical imaging N2 -

3D ultrasound data acquired with a matrix probe and philips system in february 2023.

Dataset_PHILIPS_save3D_and_saveMPR:

Left and right thyroid lobe scan of 57 healthy volunteers.

Data is ordered by participant numbers, containing 10 files per patient:

3 MPR files (axial, coronal and saggital orientation) per lobe (higher resolution)

1 Save3D DICOM (philips) file per lobe (more slices)

This data was not altered after collection from the US system.


Annotated 27 subjects:

Contains the first 27 subjects of the folder Dataset_PHILIPS_save3D_and_saveMPR_35GB. Philips DICOM tags were changed to regular DICOM tags and samples were rotated. Contains one annotation file per subject containing thyroid, jugular vein and cartid artery.


More information can be found in my thesis: deep learning segmentation of 3D ultrasound thyroid imaging

ER -