Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology

no code implementations • 11 Jun 2022 • Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson

Early prostate cancer detection and staging from MRI are extremely challenging tasks for both radiologists and deep learning algorithms, but the potential to learn from large and diverse datasets remains a promising avenue to increase their generalization capability both within- and across clinics.

Federated Learning

Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention

no code implementations • 31 Oct 2019 • Yongkai Liu, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven Raman, Kyunghyun Sung

Expert 1) were 0. 71 (PZ) and 0. 75 (TZ).

Segmentation

Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI

no code implementations • 5 Oct 2019 • Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven Raman, Kyung hyun Sung

Here, we propose the baseline MRI model to alternatively learn the appearance of mp-MRI using radiology-confirmed negative MRI cases via weakly supervised learning.

Management Weakly-supervised Learning