Develop a web-based tool to annotate ROI for radiology images. It could be either bounding box annotation or pixel segmentation.
Deliverables:
As a student, this year task should be :
[1] To edit the region of interest in the DICOM viewer.
[2] To import the studies from other DICOM viewer, so that we ensure compatibility standards between DICOM Viewers and make it available for the radiologists to diagnose.
[3] To export the details of the key object or Region of interest we created on the DICOM study/series, so that we have a common file that can be passed on along with the DICOM images to other DICOM viewers.
Hello!! My name is Ankita Kulkarni. I am pursuing my Bachelor’s Degree in Computer Science and Engineering. I am in 4th year. I have experience in image processing, in it more specifically work on particular Region Of Interest and also image segmentation. I am looking forward to work under this organization and want to contribute in open source project for LibreHealth under gsoc2020. What are steps I should follow for further procedures?
Hi @pri2si17, Thank you for outlining the image annotator project. Should we develop a POC and provide a link to the Github repo for this project as well?. Thanks.
Hi @pri2si17@r0bby I am interested in working for this project as I have background in image processing . I wanted to know if we are supposed to contribute to any repo before starting the project also what are the steps before submission . Thanks !
Hello Everyone,
To kick off with this project,
[1]. You may explore algorithms that bounds/segments the area/region of interest in the DICOM viewer and make it flexible to be edited by radiologist. Technically, using an HTML Overlay over the image.
All of them. The coding tasks take time to get correct. If you want to guarantee we don’t ignore it outright, submit PoC code…otherwise, i’m afraid it’s going to be ignored.
Doing it correctly at this point is going to be hard.