This repository demonstrates the utilization of UNETR for brain tumor segmentation.
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Updated
Feb 23, 2024 - Python
This repository demonstrates the utilization of UNETR for brain tumor segmentation.
Modified OHIF Viewer with an extension for call an API who perform AI and create RTStruct for DICOMS instances
Multiclass Image Segmentation on Human Face Segmentation in TensorFlow
API for apply AI model on DICOMS files with a dicom web server (orthanc for demo)
Human Hair Segmentation using the UNETR (U-Net Transformers) in TensorFlow
From-scratch PyTorch implementation of a 2D variant of the UNETR (U-Net with Transformers) architecture for medical image segmentation.
Implemented research paper on UNETR on a custom multi-class dataset, built modular pipelines, served the model as REST API, developed the backend on Django REST Framework, deployed on AWS, developed frontend on Next.Js, deployed on Vercel. Implemented MLOps and DevOps.
Custom deep learning model for 3D medical image segmentation, enhancing the UNETR architecture with lightweight attention gates on its skip connections. This proof-of-concept aimed to improve how the model combines features from different resolution levels. Experiments on MRI scans suggest this could be effective with larger training setups.
GUNETR_pplus: Gradient enhanced UNETR_pplus with tumor segmentation
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