Introduction
In the ever-evolving field of medical imaging, the task of annotating 3D scans such as CT, MRI, and PET images presents a significant challenge. Recognizing the intricacies involved in pinpointing anatomical structures and the time-intensive nature of this process, our team is thrilled to unveil a groundbreaking solution.
Introducing Our AI-Driven Annotation Tool
We’ve developed a complimentary web application, driven by advanced AI models, designed to expedite your annotation endeavors. This tool is specifically tailored for processing DICOM series in CT modality. It encompasses six deep learning models, each adept at segmenting a particular organ: the lungs, liver, heart, spleen, hips, and spine.
User-Friendly Design
We prioritize simplicity and efficiency. Upload a zipped DICOM file, initiate the inference, and upon completion, our tool presents a 3D viewer displaying STL files. Plus, there’s a convenient option to download the NIFTI segmentation.
Data Security and Privacy
Understanding the sensitivity of medical data, our server-based application incorporates a rigorous self-cleaning system. Rest assured, files are automatically deleted every hour, and we do not access or collect any dataset.
Do you wanna test the web app?
Don’t let the tediousness of traditional annotation hold you back. Embrace the future of medical imaging by trying our web application today. Visit https://www.annotation.pycad.co/ to get started.
Model Zoo
If you want to know more information about the models and the training, please see the table below:
