Title:	Deep learning for prostate cancer
DNr:	Berzelius-2022-59
Project Type:	LiU Berzelius
Principal Investigator:	Eduard Chelebian Kocharyan <eduard.chelebian@it.uu.se>
Affiliation:	Uppsala universitet
Duration:	2022-04-01 – 2022-10-01
Classification:	30203
Homepage:	https://tissuumaps.research.it.uu.se/
Keywords:

Abstract

The goal of the project is to predict whether a patient will develop prostate cancer in the future based on prostate needle biopsies. For that, we have a database of biopsies that were deemed benign at time=0. However, some of them developed cancer in a span of 2 years (label=1), while others did not even after 10 years (label=0). The deep learning techniques provided below could help prognostication and see if the physician missed the malignancy or if there was something else that indicated that a particular patient would develop cancer.