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Kernel Attention Transformer for Histopathology Whole Slide Image Analysis and Assistant Cancer Diagnosis

  • Published:2023-09 Issue:9 Volume:42 Page:2726-2739
  • ISSN:0278-0062
  • Container-title:IEEE Transactions on Medical Imaging
  • language:
  • Short-container-title:IEEE Trans. Med. Imaging

Author:

Zheng Yushan1ORCID,Li Jun1,Shi Jun2ORCID,Xie Fengying1ORCID,Huai Jianguo3,Cao Ming3,Jiang Zhiguo1ORCID

Affiliation:

1. Beijing Advanced Innovation Center for Biomedical Engineering, School of Engineering Medicine, Beihang University, Beijing, China

2. School of Software, Hefei University of Technology, Hefei, China

3. Department of Pathology, The First People’s Hospital of Wuhu, Wuhu, China

Funder

National Natural Science Foundation of China

Anhui Provincial Natural Science Foundation

Project 111

Fundamental Research Funds for the Central Universities of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Reference69 articles.

1. End-to-end object detection with transformers;carion;Proc Eur Conf Comput Vis,2020

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

3. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy;Proc Int Conf Learn Represent,2020

4. Transformer-based unsupervised contrastive learning for histopathological image classification

5. DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system

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