1. 使用MIScnn库来完成转换 安装 sudopipinstallmiscnn# linuxpipinstallmiscnn --user# Windows 使用 frommiscnn.data_loading.interfaces.dicom_ioimportDICOM_interface# 创建需要的标记的interfacestructure_dict={"Lung_L":1,"Lung_R":1}interface=DICOM_interface(structure_dict=structure_dict,classes=2,annotati...
offset是质心坐标。(第一次看到这个坐标的时候觉得很奇怪,还记得annotation中结节对应的坐标吗。两种坐标都是这种形式的。)其实这种表示也同样应用与dicom文件。 ElementSpacing:x,y,z方向上的步长 DimSize:三个数字分别表示x,y,z方向上的维度。 ElementDataFile:该mhd对应的raw文件,raw中存放了CT值矩阵,也就是所有...
"""Helper function for adjusting annotation onsets in relation to raw data. """ """Helper function for adjusting onsets in relation to raw data.""" meas_date = raw.info['meas_date'] if meas_date is None: meas_date = 0 11 changes: 5 additions & 6 deletions 11 mne/baseline.py Or...
neuroimaging file formats, including:ANALYZE(plain, SPM99, SPM2 and later),GIFTI,NIfTI1,NIfTI2,CIFTI-2,MINC1,MINC2,AFNI BRIK/HEAD,ECATand Philips PAR/REC. In addition, NiBabel also supportsFreeSurfer'sMGH, geometry, annotation and morphometry files, and provides some limited support forDICOM...
annotation labeling semantic-segmentation semantic-annotation video-classification data-annotations image-labeling labeling-tool bounding-box text-labeling image-annotation-tool text-annotation-tool document-annotation-tool annotation-tool-online annotation-tool-offline computer-vision-annotation-tool image-texte-vi...
Last commit message Last commit date Latest commit History 661 Commits .github/workflows Examples Images src .gitignore .gitmodules AnonDICOM.zip LICENSE.txt MANIFEST.in README.md requirements.txt setup.py test_all.py README GPL-3.0 license...
In addition, NiBabel also supports FreeSurfer's MGH, geometry, annotation and morphometry files, and provides some limited support for DICOM. NiBabel's API gives full or selective access to header information (metadata), and image data is made available via NumPy arrays. For more information, ...
We can read and write FreeSurfer geometry, annotation and morphometry files. There is some very limited support for DICOM. NiBabel is the successor of PyNIfTI. The various image format classes give full or selective access to header (meta) information and access to the image data is made ...