Topic: nnunet Goto Github
Some thing interesting about nnunet
Some thing interesting about nnunet
nnunet,Brain tissue (WM, GM, CSF) segmentation using both multi-atlas and nnUNet approaches. This project was developed for a course titled "Medical Image Segmentation and Applications" - MISA under MAIA master program.
User: abdel-habib
nnunet,Code for implementing and comparing the Generalized Surface Loss to other loss functions
User: aecelaya
nnunet,Brain Tissue Segmentation on IBSR18 Dataset
User: anwai98
nnunet,A repository that allows users to apply the DLICV method to their brain imaging data.
Organization: cbica
nnunet,cardiAc ultrasound Segmentation & Color-dopplEr dealiasiNg Toolbox (ASCENT)
Organization: creatis-myriad
nnunet,Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.
User: davidiommi
Home Page: https://zmpbmt.meduniwien.ac.at/wissenschaft-forschung/qimp/
nnunet,MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Organization: enhance-pet
Home Page: https://enhance.pet
nnunet,3D Slicer extension for fully-automatic segmentation of CT and CBCT dental volumes.
Organization: gaudot
nnunet,This is a repository hosting all models detailed in the article Brain tumour segmentation with incomplete imaging data.
Organization: high-dimensional
Home Page: https://doi.org/10.1093/braincomms/fcad118
nnunet,3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.
Organization: kitwaremedical
nnunet,LION: Born from MOOSE 2.0 lineage, this king excels in PET tumor segmentation. Harnessing 1014 Autopet datasets, it offers unparalleled precision in lesion detection. Tailor workflows, integrate seamlessly, and experience next-gen tech today!
User: lalithshiyam
nnunet,Brain tissue segmentation using several algorithms: EM, Atlas-based methods, nnunet
User: manasikattel
nnunet,A Deep Learning Framework for Analysis of the Eustachian Tube and the Internal Carotid Artery
User: mikami520
Home Page: https://mikami520.github.io/AutoSeg4ETICA-Webpage/
nnunet,MIST: A simple, scalable, and end-to-end framework for 3D medical imaging segmentation.
Organization: mist-medical
nnunet,MTMAUNet: Multi-Task Multi-axis Attention UNet
User: nengwp
nnunet,nnUNet benchmarks for The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma (UCSF-ALPTDG) dataset.
User: rachitsaluja
Home Page: https://imagingdatasets.ucsf.edu/dataset/2
nnunet,nnUNet benchmarks for The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) dataset.
User: rachitsaluja
Home Page: https://imagingdatasets.ucsf.edu/dataset/1
nnunet,Official repository for "Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation"
User: richardobi
Home Page: https://arxiv.org/abs/2311.10879
nnunet,nnUNet paddlepaddle version
User: szuboy
Home Page: https://paddle-nnunet.readthedocs.io/
nnunet,The segmentation in this project is conducted through the nnUNet framework, followed by the extraction of pituitary tumor features using the radiomics package. The final step involves designing the classifier using the scikit-learn package, resulting in an achieved classification accuracy of approximately 91%.
User: vguogavin
nnunet,Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
User: woctezuma
nnunet,Project for CV, SJTU SE
User: zhang-ycc
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