Cerebral Tumor Analysis and Segmentation Web Application
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Updated
Jun 2, 2024 - Python
Cerebral Tumor Analysis and Segmentation Web Application
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
Advanced tumor segmentation using Attention U-Net on MIP-PET images for DM i AI 2023.
Several deep learning methods has applied for example datasets
Performance of various image segmentation models.
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).
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
Diffusion models from scratch and experiments
Deep neural networks in structural health monitoring
"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.
Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc
Official implementation utilised on the paper: Disagreement attention: Let us agree to disagree on computed tomography segmentation
Tackling the challenges of off-road environment navigation through Attention Guided Off-Road Semantic Segmentation.
A Satellite Semantic Segmentation Project using Unet and Attention Unet with Pytorch,
a dual Attention U2Net and lightweighting model
Wound segmentation
Project based on Neural Style Transfer, implemented using a CycleGan architecture
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".
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