Artificial intelligence (AI) can help to identify abnormalities which otherwise may not be visible through the eyes. In fact, the limitations of subjectivity in routine healthcare tasks are a major challenge for healthcare practitioners, which can be addressed through AI-based tools for better patient outcomes. One such research area is brain tumour diagnosis with AI. Brain tumours are malignancies of brain tissues. It is crucial to determine whether the tumour is low-grade or high-grade, as both require different surgical setups for the treatment. In current practice, invasive biopsies are the gold standard in tumour diagnosis to determine its grade. Moreover, we noticed that radiologists manually identify tumour areas to understand tumour spread. Such a process is subjective and may not be accurate while performed manually. Therefore, we aim to automatically identify tumour areas from MRI using algorithms of deep learning and image processing, in particular, image segmentation. Moreover, we aim to extract radiomics features from MRI and use them to determine tumour grade. Such research can contribute to tumour area identification and grade determination tools for diagnosis. Such tools can help radiologists to diagnose brain tumours accurately and non-invasively.
Date: December 21, 2023
Time: 4:00 PM - 5:00 PM IST
Venue: Online Via Zoom
Speaker: Professor Jayendra Bhalodiya, Assistant Professor, School of Engineering and Applied Science