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PW42_2025_GranCanaria: Add project TorchxrayvisionMeets3DSlicerBridgi…
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...cts/TorchxrayvisionMeets3DSlicerBridgingDeepLearningAndMedicalImaging/README.md
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permalink: /:path/ | ||
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project_title: 'TorchXRayVision Meets 3D Slicer: Bridging Deep Learning and Medical Imaging' | ||
category: Segmentation / Classification / Landmarking | ||
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key_investigators: | ||
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- name: Constantin Constantinescu | ||
affiliation: Lucian Blaga University of Sibiu | ||
country: Romania | ||
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- name: Juan Ruiz-Alzola | ||
affiliation: University of Las Palmas de Gran Canaria | ||
country: Spain | ||
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- name: Csaba Pintér | ||
affiliation: EBATINCA | ||
country: Spain | ||
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--- | ||
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# Project Description | ||
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<!-- Add a short paragraph describing the project. --> | ||
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This project focuses on developing a 3D Slicer module for the automatic processing of chest X-rays, integrating powerful deep learning capabilities provided by TorchXRayVision. The module streamlines radiological analysis by offering the following features: | ||
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- Segmentation: Automatically identify and outline anatomical regions in chest X-rays, such as lungs or other structures. | ||
- Anomaly Detection: Detect abnormalities and highlight regions of interest for further investigation. | ||
- Pathology Classification: Classify pathologies such as pneumonia, atelectasis, or other common conditions. | ||
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By combining the advanced machine learning models from TorchXRayVision with the versatile 3D Slicer platform, this module aims to provide a robust tool for clinicians and researchers to enhance diagnostic workflows, reduce manual workload, and improve consistency in radiological interpretation. | ||
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## Objective | ||
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<!-- Describe here WHAT you would like to achieve (what you will have as end result). --> | ||
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1. A 3D Slicer Module | ||
2. TorchXRayVision models included in the module | ||
3. Torch XRays automatic segmentation, anomaly detection and pathology classification | ||
4. Heatmaps | ||
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## Approach and Plan | ||
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<!-- Describe here HOW you would like to achieve the objectives stated above. --> | ||
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1. Create a Slicer Module | ||
2. Create an interface to upload X-Rays and perform automatic analysis | ||
3. Use TorchXRayVision framework to perform automatic analysis | ||
4. Compute heatmaps | ||
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## Progress and Next Steps | ||
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<!-- Update this section as you make progress, describing of what you have ACTUALLY DONE. | ||
If there are specific steps that you could not complete then you can describe them here, too. --> | ||
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1. Creating a 3D Slicer Module | ||
2. Building the interface | ||
3. Including the TorchXRayVision models (work in progress) | ||
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# Illustrations | ||
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<!-- Add pictures and links to videos that demonstrate what has been accomplished. --> | ||
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_No response_ | ||
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# Background and References | ||
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<!-- If you developed any software, include link to the source code repository. | ||
If possible, also add links to sample data, and to any relevant publications. --> | ||
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_No response_ | ||
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