Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations.

von Marini, Niccolo
Veröffentlicht in 3DHU (1. : 2021 : Online) Pattern recognition ; Part 1 (2021)

Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing

von Dhrangadhariya, Anjani
Veröffentlicht in 3DHU (1. : 2021 : Online) Pattern recognition ; Part 1 (2021)

Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks

von Otálora, Sebastian
Veröffentlicht in iMIMIC (3. : 2020 : Online) Interpretable and annotation-efficient learning for medical image computing (2020)

Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval

von Lara, Juan S.
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 5 (2020)