GSOC LibreHealth Automatic Labelling of radiology images

" Previously on LibreHealth GSOC 2020 "   [ Recap ] The demo backend and frontend was connected and they are working. Added support for multiple models. Trained tf2 resnet. "Trained retinaNet in tf1"   [ Work ] The previous trained net was having too many bugs so I trained another model from scratch. Here are the diagnostics. I have finished the deployment part as well. and integrated React with Django. (Django serves the react app now). " Next week "   [ On LibreHealth ] 1) Add Image segmentation support to the app

" Previously on LibreHealth GSOC 2020 "   [ Recap ] The demo backend and frontend was connected and they were working (with some bugs!). "Trained retinaNet"   [ Work ] This week has been all about training the retinanet model. Tensorflow just released Object detection API support for tensorflow v2. And it had bugs . So I ended up training the model from scratch and since there is a scarcity of data had to do some data augmentation to get nice results. The training went pretty well here is the loss curve: Although the loss looks pretty good, it can be further improved. And I will try that in the coming week. " Next week "   [ On LibreHealth ] 1) Start the segmentation part. 2) Improve this model.

" Previously on LibreHealth GSOC 2020 "   [ Recap ] The demo backend was connected to the frontend and some of the apis were modified for easy connection. "Frontend completed"   [ Work ] Requirements for frontend completed so fas: 1) Login/SignUp 2) User can request images with bounding box annotations. 3) User can filter bounding box annotations based upon which model was used for annotations. 4) User can modify the bounding box location/disease/size in real time. Here are few screenshots: " Next week "   [ On LibreHealth ] 1) Complete the training of retinanet and integrate it to the tensorflow serving server. 2) Make modifications to the frontend if requested by the mentors :)

" Previously on LibreHealth GSOC 2020 "   [ Recap ] The demo of the app backend is completely dockerized and it is super easy to run now. "React js"   [ Work ] Now that the backend is ready it is time to work on the frontend. The frontend as of now me and my mentor decided will be in Reactjs. This week I made basic mods the react frontend added login page and sign up methods. Changed the backend to easily integrate with the React frontend. As I'm having placements I'm unable to work with my full dedication right now and I feel very bad about it. Anyways I will make sure I compensate everything by putting extra hours, all hours in the coming weeks. " Next week "   [ On LibreHealth ] 1. Complete the React app integration with the backend.