Conceptualization and implementation of an automated classification of prostate cancer tissue microarrays via deep learning without manual patch level annotation | Department of Information Systems

To the content
To the main navigation
To the target group navigation
To the sub-navigation

Conceptualization and implementation of an automated classification of prostate cancer tissue microarrays via deep learning without manual patch level annotation

Thesis Relevance	Master
Thesis Supervisor	Marius Kühnemund
Associated Professor	Prof. Dr. Herbert Kuchen
Thesis Status	Completed