https://coderlegion.com/tag/gsoc Powered by Question2Answer https://coderlegion.com/26521/coding-period-has-started-week-1 <p><strong>Progress I have made in this week:</strong></p> <ul> <li><p>Created a ArtifactManager object which hooks into the OHIFViewer and<br> gets access to the cornerstone tools.</p> </li> <li><p>Created a FindSimilarArtifacts tool which gets the coordinates from<br> the rectangle ROI and performs the next steps.</p> </li> <li><p>Drafted the EventListener which handles asynchronous response<br> payloads with the FastAPI backend.</p> </li> </ul> <p><strong>Things for next week:</strong></p> <ul> <li><p>Extracting DICOM Instance UID from the Orthanc viewer state to<br> properly route images to the AI model.</p> </li> <li><p>Creating a JSON payload of the exact ROI coordinates and routing it<br> to the backend.</p> </li> <li><p>Drafting a Microservice Architecture for the FastAPI server.</p> </li> </ul> Articles https://coderlegion.com/26521/coding-period-has-started-week-1 Tue, 08 Sep 2026 21:14:31 +0000 https://coderlegion.com/26163/hello-world-beginning-my-gsoc-2026-journey-with-librehealth <p>I am Tejas S A, a student at JNNCE (Class of 2029), and I am excited to announce that I have been selected as a Google Summer of Code 2026 contributor for LibreHealth.</p> <p>My daily work revolves around Machine Learning, Computer Vision, and DevOps. I am interested in building and training models with PyTorch, and I love to optimize those models using ONNX.</p> <p><strong>Automated Artifact Detection and Annotation</strong><br> This summer, my focus will be on the Automated Artifact Detection and Annotation project for LibreHealth Radiology.</p> <p>In medical imaging, artifacts are visual anomalies that appear in radiology scans. These can be caused by image noise, patient movement, scanner errors, or objects like pacemakers and jewelry. These artifacts can sometimes obscure important anatomical details or complicate a radiologist's workflow.</p> <p>The goal of this project is to build an automated workflow that can detect these artifacts within medical images. Once detected, the system will visually annotate them directly within the LibreHealth radiology interface. By automating this detection process, we can help streamline diagnostics and make the viewing experience significantly more efficient for healthcare professionals.</p> <p>Stay tuned for my next update where I'll be sharing my technical roadmap!</p> Articles https://coderlegion.com/26163/hello-world-beginning-my-gsoc-2026-journey-with-librehealth Thu, 03 Sep 2026 20:13:13 +0000