PyTorch implementation of the two U-Net-based architectures described in "Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography"
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Nov 17, 2022 - Python
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camus-dataset
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Cardiac structure segmentation from 2D echocardiography using U-Net with ResNet34 encoder. 0.910 Dice on CAMUS (5-fold CV). Systematic ablation across 20+ experiments.
deep-learning pytorch medical-imaging unet semantic-segmentation cardiac-segmentation unet-image-segmentation echocardiography camus-dataset
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Mar 24, 2026 - Jupyter Notebook
Deep learning segmentation approaches to enforce temporal consistency in echocardiography sequences in collaboration with Physense Research Group from UPF.
python opencv deep-neural-networks computer-vision deep-learning image-processing medical-imaging image-segmentation image-preprocessing echocardiography camus-dataset
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Jan 5, 2024 - Jupyter Notebook
Multiclass cardiac structure segmentation on the CAMUS echocardiography dataset using UNet++ (ResNet34) with 5-fold cross-validation — PyTorch
computer-vision deep-learning pytorch medical-imaging segmentation unet camus cardiac-segmentation unet-image-segmentation echocardiography healthcare-ai camus-dataset
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May 28, 2026 - Python
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