Advanced tumor segmentation using Attention U-Net on MIP-PET images for DM i AI 2023.
-
Updated
Feb 4, 2024 - Jupyter Notebook
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.
Several deep learning methods has applied for example datasets
Performance of various image segmentation models.
Projects based on self learning purpose.
Official implementation utilised on the paper: Disagreement attention: Let us agree to disagree on computed tomography segmentation
Wound segmentation
Project based on Neural Style Transfer, implemented using a CycleGan architecture
The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".
A Satellite Semantic Segmentation Project using Unet and Attention Unet with Pytorch,
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).
Deep Learning with CNNs course project
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
Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc
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.
Deep neural networks in structural health monitoring
Tackling the challenges of off-road environment navigation through Attention Guided Off-Road Semantic Segmentation.
Brain tumor segmentation
Add a description, image, and links to the attention-unet topic page so that developers can more easily learn about it.
To associate your repository with the attention-unet topic, visit your repo's landing page and select "manage topics."