TRUSGlandSegmentation
importedsoftware/trusglandsegmentation
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- CC0-1.0(cc)
- Status
- dormant
- Maturity
- deployed
- Organization
- pimed
- Country
- unknown
- Repository
- github.com/pimed/TRUSGlandSegmentation
- Documentation
- unknown
- Tags
- deep-learning · domain-generalization · knowledge-distillation · medical-imaging · mri · prostate-cancer · prostate-segmentation · pytorch
- Regulatory
- unknown
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Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- prostate-cancer-detectionmedical-imaging · prostate-cancer · pytorch
CNN ensemble for prostate cancer Gleason grading
- medical-segmentation-pytorchknowledge-distillation · pytorch
PyTorch implementation of medical semantic segmentations models, e.g. UNet, UNet++, DUCKNet, ResUNet, ResUNet++, and support knowledge distillation, distributed training, Optuna etc.
- DAG4MIAdomain-generalization · medical-imaging
Domain Adaptation and Generalization for Medical Image Analysis
- Annotated MRI and ultrasound volume images of the prostateprostate-cancer · mri
Introduction The Surgical Planning Laboratory (SPL) and the National Center for Image Guided Therapy (NCIGT) are making this dataset available as a resource to aid in the development of algorithms…
Introduction: In our previous studies it was concluded that the zinc (Zn) level in in human expressed prostatic fluid (EPF) is a first candidate with the role of offering a new, simple, fast,…
- DCACdomain-generalization
Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.
- api.github.com/repos/pimed/TRUSGlandSegmentationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-09-25, 15 stars, license reported as CC0-1.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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