research
∙
01/23/2023
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study
Background: Deep learning (DL) can extract predictive and prognostic bio...
share
research
∙
05/13/2022
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction
Classical multiple instance learning (MIL) methods are often based on th...
research
∙
03/14/2022
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
In computational pathology, we often face a scarcity of annotations and ...
research
∙
11/23/2021
Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation
Annotating microscopy images for nuclei segmentation is laborious and ti...
research
∙
07/26/2021
