The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
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Updated
Feb 22, 2023 - Python
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)
Evaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.
Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
MIST: A simple, scalable, and end-to-end framework for 3D medical imaging segmentation.
This is provisional codes for a conference paper titled "Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensity in Different Datasets of Brain MRI".
Compare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.
Baseline model for BKAI-IGH_Neopolyp. Currently supports Unet and Attention Unet with VGG-16, MobilenetV2 and Efficientnet-B0 backbone. This repository is private therefore not a official implementation from BKAI.
Brain tumor segmentation
Advanced tumor segmentation using Attention U-Net on MIP-PET images for DM i AI 2023.
Cerebral Tumor Analysis and Segmentation Web Application
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
3D U-net, Attention U-net, Res U-net, Attention Res U-net, and MSRes U-net are implemented and compared for emulation of current density induced during transcranial direct current stimulation (tDCS).
Several deep learning methods has applied for example datasets
Performance of various image segmentation models.
Projects based on self learning purpose.
Machine Learning 2 Course Project at RKMVERI, 2021. Published at The Imaging Science Journal (2023), Paper: https://www.tandfonline.com/doi/full/10.1080/13682199.2023.2174657
Deep neural networks in structural health monitoring
Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc
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