Blar i Faculty of Mathematics and Natural Sciences på emneord "Deep learning"
Viser treff 1-4 av 4
-
A workflow-integrated brain tumor segmentation system based on fastai and MONAI
(Master thesis, 2022-06-01)Artificial intelligence (AI) has achieved great results in medical imaging tasks and has the potential to improve the experiences of clinicians and patients in the future, but on the way toward AI integration in medicine, ... -
De-identification of medical images using object-detection models, generative adversarial networks and perceptual loss
(Master thesis, 2021-06-01)Medical images play an essential role in the process of diagnostics and detection of a variety of diseases. Whether it being anatomical features or molecular cells, medical imaging help visualize and gain insight into the ... -
Deanonymizing communications on The Onion Router (TOR) network with Deep Learning
(Master thesis, 2021-06-01)Staying anonymous on the Internet is becoming increasingly difficult. Advertisements for services that to some extent offer privacy are frequent, and the general population seems to be more aware of privacy than previously. ... -
Evaluation and Improvement of Machine Learning Algorithms in Drug Discovery
(Master thesis, 2022-06-01)Drug discovery plays a critical role in today’s society for treating and preventing sickness and possibly deadly viruses. In early drug discovery development, the main challenge is to find candidate molecules to be used ...