Advanced tumor segmentation using Attention U-Net on MIP-PET images for DM i AI 2023.
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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.
The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".
Official implementation utilised on the paper: Disagreement attention: Let us agree to disagree on computed tomography segmentation
A Satellite Semantic Segmentation Project using Unet and Attention Unet with Pytorch,
Wound segmentation
Project based on Neural Style Transfer, implemented using 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).
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
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