1.3k citations · 2k across the 59 of their papers we have counts for
10 papers · 1 filter
FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI
Hao Li, Zhenfeng Zhuang, Jingyu Lin +5
Due to the diversity of brain anatomy and the scarcity of annotated data, supervised anomaly detection for brain MRI remains challenging, driving the development of unsupervised an…
Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification
Zhenfeng Zhuang, Fangyu Zhou, Liansheng Wang
While Large Language Models (LLMs) are emerging as a promising direction in computational pathology, the substantial computational cost of giga-pixel Whole Slide Images (WSIs) nece…
Instance-Aware Robust Consistency Regularization for Semi-Supervised Nuclei Instance Segmentation
Zenan Lin, Wei Li, Jintao Chen +5
Nuclei instance segmentation in pathological images is crucial for downstream tasks such as tumor microenvironment analysis. However, the high cost and scarcity of annotated data l…
CMIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis
Min Cen, Zhenfeng Zhuang, Yuzhe Zhang +5
Graph-based Multiple Instance Learning (MIL) is widely used in survival analysis with Hematoxylin and Eosin (H\&E)-stained whole slide images (WSIs) due to its ability to capture t…
Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
Zheng Wang, Hong Liu, Danyi Li +4
Survival analysis based on Whole Slide Images (WSIs) is crucial for evaluating cancer prognosis, as they offer detailed microscopic information essential for predicting patient out…
Evolutionary Paradigms in Histopathology Serial Sections technology
Zhenfeng Zhuang, Min Cen, Lei Jiang +4
Histopathological analysis has been transformed by serial section-based methods, advancing beyond traditional 2D histology to enable volumetric and microstructural insights in onco…
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models
Chenyu Lian, Hong-Yu Zhou, Dongyun Liang +2
Medical vision-language alignment through cross-modal contrastive learning shows promising performance in image-text matching tasks, such as retrieval and zero-shot classification.…
FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images
Hangbei Cheng, Xiaorong Dong, Xueyu Liu +6
Accurate lesion segmentation in histopathology images is essential for diagnostic interpretation and quantitative analysis, yet it remains challenging due to the limited availabili…
Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation
Xinyi Tan, Jiacheng Wang, Liansheng Wang
Employing self-supervised learning (SSL) methodologies assumes par-amount significance in handling unlabeled polyp datasets when building deep learning-based automatic polyp segmen…
Beyond Diagnostic Performance: Revealing and Quantifying Ethical Risks in Pathology Foundation Models
Weiping Lin, Shen Liu, Runchen Zhu +3
Pathology foundation models (PFMs), as large-scale pre-trained models tailored for computational pathology, have significantly advanced a wide range of applications. Their ability…