Search Results for author:
Found 7 papers, 4 papers with code
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation
Then, the encoder is used to map the images into the embedding space and generate pixel-level pseudo tissue masks by querying the tissue prototype dictionary.
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
We first benchmark representative SSL methods for dense prediction tasks in pathology images.
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
We evaluate ReMix on two public datasets with two state-of-the-art MIL methods.
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction
Four different implementations of anatomy-specific learners are presented and explored on the top of our framework in two MRI reconstruction networks.
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
Histology images are a natural choice for such a study.
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
Histology images are a natural choice for such study.
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles
Our strategy is to formulate the individual ROI optimization as a group variance minimization problem, in which group-wise functional and structural connectivity patterns, and anatomic profiles are defined as optimization constraints.
