2 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.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…