PhD conferral Zhixiang Wang
Supervisor: Prof.dr.ir. A.L.A.J. Dekker
Co-supervisors: Dr. A. Traverso, Dr. L.Y.L. Wee
Keywords: Artificial Intelligence (AI), oncology, Generative Adversarial Networks (GANs), diagnostic models
"Artificial Intelligence Applications in Oncology to Augment Data and Support Decisions"
The application of Artificial Intelligence (AI) in the medical field, particularly in oncology is explored within this thesis. Research primarily focused on two areas: data augmentation and decision-making. Generative Adversarial Networks (GANs) were used to generate simulated clinical data to augment the dataset for training deep learning models, addressing data imbalance issues. Additionally, AI diagnostic models were developed which were capable of handling various formats of medical data to support clinical decision-making and personalized treatment. This research confirmed that AI techniques can produce high-quality medical data to enhance the classification performance of machine learning and deep learning models. Meanwhile, AI decision models can provide assistance to doctors in the field of oncology.
Language: English
Click here for the live stream.
Also read
-
PhD Defence Emmanuel Tan Chee Peng
"Beyond Hogwarts and Sorting Hats: How a House System shapes medical student support"
10 Jun -
PhD Defence Mariia Denisova
"Co-construction of reliable knowledge, good care and profit-making: The ambivalent role of private clinics in Russian healthcare"
10 Jun -
PhD Defence Charlotte Merel Marije Peters
"Beyond The Red Lights: Understanding the STI/HIV burden and sexual healthcare needs of home-based and migrant sex workers"
11 Jun