Search Results for author: Fengying Xie

Found 7 papers, 6 papers with code

Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction

1 code implementation3 Jan 2024 Yilan Zhang, Yingxue Xu, Jianqi Chen, Fengying Xie, Hao Chen

Despite advantages of multimodal learning for cancer survival prediction, massive redundancy in multimodal data prevents it from extracting discriminative and compact information: (1) An extensive amount of intra-modal task-unrelated information blurs discriminability, especially for gigapixel whole slide images (WSIs) with many patches in pathology and thousands of pathways in genomic data, leading to an ``intra-modal redundancy" issue.

Disentanglement Survival Prediction +1

ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification

1 code implementation9 Jul 2023 Yilan Zhang, Jianqi Chen, Ke Wang, Fengying Xie

In this paper, we propose class-Enhancement Contrastive Learning (ECL), which enriches the information of minority classes and treats different classes equally.

Contrastive Learning Lesion Classification +1

TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis

1 code implementation21 Nov 2022 Yilan Zhang, Fengying Xie, Jianqi Chen

Multi-modal skin lesion diagnosis (MSLD) has achieved remarkable success by modern computer-aided diagnosis (CAD) technology based on deep convolutions.

Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification

1 code implementation27 Jun 2022 Yushan Zheng, Jun Li, Jun Shi, Fengying Xie, Zhiguo Jiang

Transformer has been widely used in histopathology whole slide image (WSI) classification for the purpose of tumor grading, prognosis analysis, etc.

Classification Image Classification

Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis

1 code implementation27 Jun 2022 Jun Li, Yushan Zheng, Kun Wu, Jun Shi, Fengying Xie, Zhiguo Jiang

In this paper, we proposed a novel contrastive representation learning framework named Lesion-Aware Contrastive Learning (LACL) for histopathology whole slide image analysis.

Contrastive Learning Representation Learning +1

Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions

no code implementations16 Apr 2021 Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Jun Shi, Chenghai Xue

While, it is challenging and yet significant in clinical applications to retrieve diagnostically relevant regions from a database that consists of histopathological whole slide images (WSIs) for a query ROI.

Graph Embedding Image Retrieval +2

Cannot find the paper you are looking for? You can Submit a new open access paper.