deep-dicom
importedsoftware/deep-dicom
Preprocess and standardize DICOM data for deep learning applications in radiotherapy.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/ababier/deep-dicom
- Documentation
- unknown
- Tags
- dicom · dicom-images · medical-imaging · medical-physics · radiation-therapy · unet-pytorch
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- LinaQAdicom · medical-imaging · medical-physics · radiation-therapy
LinaQA (pronounced Linakwa) is a medical physics toolkit for radiotherapy, diagnostic radiology and nuclear medicine based on pylinac and pydicom.
- pymedphysdicom · medical-physics · radiation-therapy
A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better…
- Gatemedical-imaging · medical-physics · radiation-therapy
Official public repository of Gate
- med-phys-scriptsmedical-physics · radiation-therapy
Code from my work as Radiation Physicist Assistant at Cookeville Regional Medical Center
- Hippocampus_Segmentation_MRIdicom · unet-pytorch
Udacity AI for Healthcare Nanodegree Project: Measurement of Hippocampus Structure in MRI 3-D Images using Deep Learning Image Segmentation
- dicomdicom · dicom-images · medical-imaging
High Performance DICOM Medical Image Parser in Go.
- api.github.com/repos/ababier/deep-dicomretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-03-10, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/38.json→ .entries["deep-dicom"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.