How Low Can We Go? - Investigating the interaction between cancer-detecting AI and low-dose quantum noise in CT images
Jack Dixon, Master’s student, Department of Physics, University of Cambridge
Deformable registration to assess tumour progression in ovarian cancer patients
Gift Mungmeeprued, Master's student, Department of Physics, University of Cambridge
Automating segmentation and chemotherapy response measurement in ovarian cancer with multitask deep learning
Bevis Drury, Master’s student, Department of Physics, University of Cambridge
When: Tuesday 11 June, 12:00-13:00, Aromi lunch from 11:50
Where: Jeffrey Cheah Biomedical Centre Main Lecture and online
The Cancer Research UK Cambridge Centre and the Department of Radiology at Addenbrooke's are pleased to announce a seminar series on Artificial Intelligence (AI) in Medicine, which aims to provide a comprehensive overview of the latest developments in this rapidly evolving field. As AI continues to revolutionize healthcare, we believe it is essential to explore its potential and discuss the challenges and opportunities it presents.
The seminar series will feature prominent experts in the field who will share their research and insights on a range of topics, including AI applications in disease diagnosis, drug discovery, and patient care. Each seminar will involve two/three talks, followed by an interactive discussion with a light lunch from Aromi! We hope that this seminar series will be a valuable platform for researchers, practitioners and students to learn about the latest trends and explore collaborations in the exciting field of AI in Medicine.
Please register using the link below
