Linhao Qu

Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis

2023 · IEEE Journal of Biomedical and Health Informatics

Histopathology image classification is an important clinical task, and current deep learning-based whole-slide image (WSI) classification methods typically cut WSIs into small patches and cast the problem as multi-instance learning. The mainstream approach is to …

MAMILNet: advancing precision oncology with multi-scale attentional multi-instance learning for whole slide image analysis

2024 · Frontiers in Oncology

Background: Whole Slide Image (WSI) analysis, driven by deep learning algorithms, has the potential to revolutionize tumor detection, classification, and treatment response prediction. However, challenges persist, such as limited model generalizability across various cancer types, …

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

2024 · arXiv (Cornell University)

Survival analysis stands as a pivotal process in cancer treatment research, crucial for predicting patient survival rates accurately. Recent advancements in data collection techniques have paved the way for enhancing survival predictions by integrating information …

Deep Mutual Learning Among Partially Labeled Datasets for Multi-Organ Segmentation

2025 · IEEE Transactions on Medical Imaging

Labeling multiple organs for segmentation is a complex and time-consuming process, resulting in a scarcity of comprehensively labeled multi-organ datasets while the emergence of numerous partially labeled datasets. Current methods face three critical limitations: incomplete …