Developer needed to build a flask App based on 3d Deep learning segmentation Model (3D Unet)
Budget: $250 – $750 USD
Hi, I am looking for someone proficient in Python, Flask who understands deep learning (medical 3D image segmentation) to build a Flask App using deep learning models and put it into a docker.
- The models have been created using 3D Unet.
- The Flask app should be able to receive 3D images as input and make the segmentation based on the AI models.
- The input image can be in nifti or Dicom format (The models can only process nifti format), so if the user has Dicom images as input the app should first convert dicom images to nifti (I have the script for that).
- The app should give the output in 2 formats (Dicom and nifti) and save it on Cloudinary.
Kindly message me for more detailed infos.
Thanks,
- The models have been created using 3D Unet.
- The Flask app should be able to receive 3D images as input and make the segmentation based on the AI models.
- The input image can be in nifti or Dicom format (The models can only process nifti format), so if the user has Dicom images as input the app should first convert dicom images to nifti (I have the script for that).
- The app should give the output in 2 formats (Dicom and nifti) and save it on Cloudinary.
Kindly message me for more detailed infos.
Thanks,