Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Deep Learning in Brain Imaging
This chapter explores the application of deep learning techniques to analyze brain connectivity and segmentation. The speakers discuss advanced imaging technologies and specific deep learning networks, like FastRCNN and MaskRCNN, used to create a comprehensive brain atlas. Challenges in accurately detecting complex brain structures and the continual evolution of these methodologies are also highlighted.
Transcript
Play full episode
