Cerebral Tumor Analysis and Segmentation Web Application
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Updated
Jun 2, 2024 - Python
Cerebral Tumor Analysis and Segmentation Web Application
Advanced tumor segmentation using Attention U-Net on MIP-PET images for DM i AI 2023.
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
"Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray" by Debojyoti Pal, Pailla Balakrishna Reddy, and Sudipta Roy.
Tackling the challenges of off-road environment navigation through Attention Guided Off-Road Semantic Segmentation.
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 dual Attention U2Net and lightweighting model
Wound segmentation
Project based on Neural Style Transfer, implemented using a CycleGan architecture
Deep Learning with CNNs course project
A Satellite Semantic Segmentation Project using Unet and Attention Unet with Pytorch,
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