side Avinash Gurushiddappa Kori

Avinash Gurushiddappa Kori

Post Baccalaureate Fellow

Biomedical Image Analysis Network Interpretability/Explainability Causality

I’m post baccalaureate student at RBCDSAI, working on biomedical image analysis and explainable deep learning, working under the guaidance of Dr. Ganapathy Krishnamurthi and Dr. Balaraman Ravindran


Nov 17, 2020
Deep learning in biomedical image analysis
Medical imaging, specifically radiologic imaging is the most commonly used diagnostic tool for disease diagnosis and treatment assessment for a wide variety of conditions. Over the last decades the image acquisition hardware has improved significantly and corresponding image reconstruction software has become more sophisticated. These provide increasingly complex data both in terms of size and content, making it a challenging task for radiologists to sift through and arrive at meaningful diagnosis and therapeutic assessment. The role of AI/ML techniques in this context is to act as a radiologist’s assistant to automate routine tasks and provide preliminary diagnosis. A radiologist can then use the outputs from these systems to speed up and improve accuracy of diagnosis.

3 min read