Data underlying the MSc thesis: Deep learning segmentation of 3D ultrasound thyroid imaging

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