3 papers
eess.IV2024
HistoEncoder: a digital pathology foundation model for prostate cancer
Joona Pohjonen, Abderrahim-Oussama Batouche, Antti Rannikko +4
Foundation models are trained on massive amounts of data to distinguish complex patterns and can be adapted to a wide range of downstream tasks with minimal computational resources…
cs.IR2023
Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
Abderrahim Oussama Batouche, Eugen Czeizler, Miika Koskinen +2
The presence of detailed clinical information in electronic health record (EHR) systems presents promising prospects for enhancing patient care through automated retrieval techniqu…
cs.LG2019
Improving Prostate Cancer Detection with Breast Histopathology Images
Umair Akhtar Hasan Khan, Carolin Stürenberg, Oguzhan Gencoglu +4
Deep neural networks have introduced significant advancements in the field of machine learning-based analysis of digital pathology images including prostate tissue images. With the…