GSoC Week 13 - Wrapping Up

 This week I worked on two things,

 - Implemented the AI Tool OHIF component

- Minor bug fixes and logging


Implementing the AI Tool OHIF component



To give some context, in the OHIF viewer I had to add a button in the toolbar (refer "AI Tool" in the image above) that allows calling any of the existing AI models in the AI Model Service. Prior to this a component was implemented that takes a look at the metadata of the image and calls the respective model that was configured in the admin settings, but only one model could be called for a particular image. In a scenario where we would need to call two models for an image, say we have a model for identifying breast cancer region and another model for identifying type of cancer it would become impossible. We implement the AI Tool so that we can call a secondary or tertiary model.

This task was quiet difficult for me since I was new working in JS and also there were new components that I had to work with. I met with my mentor twice this week to resolve issues or get guidance whenever I was stuck with the task. A lot of the issues I faced were related to arguments not flowing between components and also rendering the outputs to the OHIF viewer. Finally after fixing issues and writing more code I was able to implement a working AI Tool component in the OHIF toolbar.


Minor bug fixes and logging

Along the way I had to fix a few bugs in the AI Model Service end. These were minor issues and were easily fixed. I also added a few more logging to the AI Model Service as I found them very necessary to easily debug issues that may occur or identify where the code fails.


Wrapping up GSoC,

This weekend I will have to update the GitLab docs of the LH Radiology docs on how to configure the settings, adding new models and mostly related to what I developed during GSoC period that will help developers configure. I will need to add more content as necessary.

I've already written a work submission document but I will need to edit it based on my current week's progress.

Comments

Post a Comment

Popular posts from this blog

Google Summer of Code 2023: AI Model Service Auto Selection by Modality - Final Report

Image
Introduction GSoC is one amazing program that lets students and professionals get into the world of open source, contribute code and also learn back from the program. I definitely learnt a lot by contributing to my mentoring organization LibreHealth through GSoC'23. I now understand the value of open source and will become a lifelong contributor wherever and whenever I can. LibreHealth is an umbrella organization where multiple health information technology projects collaborate. I was actively involved in contributing code to their LibreHealth Radiology application  through the project "AI Model Service Auto Selection by Modality". My contributions to the application were more involved into implementing AI models in the application and also building modules that do automatic model selection, example, when a Radiologist opens up a Mammography image the application automatically triggers the Mammography AI model to produce inferences on the image. Objectives The project des
Read more

GSoC Week 1

This week I was researching AI models to implement for the different modalities. More specifically, Mammography. I also finally had the opportunity to talk to my mentor on Thursday (June 1st, 2023). You can find the recorded meeting link  here . Building a Breast Cancer Classification Model from Scratch At the start of the week, I attempted to implement a VGG16 classifier to distinguish between malignant and benign calcifications in a mammogram. Using PyTorch, I developed the model and achieved a validation accuracy of approximately 70%. The source code can be accessed  here . This model and code serve as a starting point for implementing a more complex model mentioned in this  paper . Briefly, the paper discusses building a model solely on the region of interest (ROI) of the calcification/tumor and adding layers and training on the entire images. This method has significantly reduced the training loss and, consequently, improved overall accuracy. Mentor Discussion and Change in Direct
Read more

My First GSoC - LibreHealth Community Bonding Period

GSoC Acceptance I was amazed to know that I got accepted into Google Summer of Code 2023. This is my first time applying and getting into GSoC. I remember the time when I sat at the library for hours, working on the preliminary tasks, figuring out solutions, and writing an extensive proposal. Reiterating through the solution and proposal back and forth, I watched lots of YouTube videos and read blogs providing tips to draft a good proposal. All the efforts paid off when I received the email of acceptance. The Org & Project I drafted a proposal to the LibreHealth Organization. LibreHealth is collaborative community for free & open source software projects in Health IT, and is a member project of Software Freedom Conservancy. It is amazing to just think about how contributors from all over the world come together and build things that impact the world positively. This idea is what brought me into open source. Before jumping into the project details, here are a few things about m
Read more