The valid characters are defined in RFC 7230 and RFC 3986 Description The server cannot or will not process the request due to something that is perceived to be a client error (e.g., malformed request syntax, invalid request message framing, or deceptive request routing).

Exception java.lang.IllegalArgumentException: Invalid character found in the request target.

Apache Tomcat9.0.22.

Automatic labeling would assist radiologist in their manual work.

The basic POC should have the facility to upload datasetimages, choose labelling type (bounding boxes for POC), and the pretrained model should be able to label it.

You can provide options to select model as well (like Faster RCNN, Retinanet, Yolo, etc).

It should be a standalone web app, preferably in Python frameworks (Django, Flask) but other frameworks are also considered.

Its good to know that you have relevant skills but we would like to see some small POC developed for it.

I did Diabetic Retinopathy using CNN, dataset-api and input pipelining(I have also contributed in tensorflow-datasets).

I would like to know a little more specifics about the tool we should be making.

Also for classification task, I believe a frontend react app with tensorflow.js would be a good Idea as it will put less burden on the servers.

Do let me know if you like the idea, so that I can start working on it.

Till then you can make small prototype for it and share the link.

I want to contribute in this project as this matches my area of interest and I can deploy this as both web and Mobile App(Android).

Deep learning based fully automated decision making for intravitreal anti-VEGF therapy.

I have previously worked on computer-aided detection of interstitial lung diseases.

I want to work on this project as this matches my area of interest.

You have experience working in this domain and you are welcome to contribute to this project.

Gsoc Proposal Pdf