Python Library to handle Input / Output conversion in Dicom <=> Convolutional Neural Network
Project description
Dicom-To-CNN
Install : pip install dicom-to-cnn
Features :
- Description of Series content in a huge dataset of DICOM (output JSON descriptor for each series containings main DICOM tags).
- Conversion :
- Dicom to Nifti
- Mask to RTSS and DICOMSeg
- RTSS to mask
- DicomSeg to mask
- PET/CT
- Conversion Bqml/Counts to SUV and SUL
- Fusion
#Maintainer : Salim Kanoun #Contributors : Thomas Trouillard, Wendy Revailler
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dicom_to_cnn-0.76.tar.gz
(42.3 kB
view details)
File details
Details for the file dicom_to_cnn-0.76.tar.gz.
File metadata
- Download URL: dicom_to_cnn-0.76.tar.gz
- Upload date:
- Size: 42.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/57.1.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b4cafc2d64a11c283a4a63daf0b8be248223e1b7bfb60905b354d1a342807b47
|
|
| MD5 |
0c39fcd603dc3264d55e87a84fcbcde1
|
|
| BLAKE2b-256 |
20885548582f489643776074209422674affe82535b55f38ca142016acfa7e63
|
