PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning-Reference-Cited by-全球学者库

PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning

Published:2022-09 Issue:9 Volume:41 Page:2252-2262
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Lin Jiatai¹,Han Guoqiang¹^ORCID,Pan Xipeng²,Liu Zaiyi²,Chen Hao³^ORCID,Li Danyi⁴,Jia Xiping⁵^ORCID,Shi Zhenwei²^ORCID,Wang Zhizhen⁶,Cui Yanfen²,Li Haiming²,Liang Changhong²,Liang Li⁴,Wang Ying⁷,Han Chu²^ORCID

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

2. Department of Radiology and the Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

3. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong

4. Department of Pathology, Nanfang Hospital and Basic Medical College, Guangdong Province Key Laboratory of Molecular Tumor Pathology, Southern Medical University, Guangzhou, China

5. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China

6. School of Computer Science and Information Security, Guilin University of Electronic Technology, Guangxi, China

7. Department of Medical Ultrasonics, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

Funder

Key Research and Development Program of Guangdong Province, China

National Key Research and Development Program of China

National Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

High-level Hospital Construction Project of Guangdong Provincial People's Hospital

Guangzhou Research and Development Plan in Key Areas

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/42/9872156/09740140.pdf?arnumber=9740140

Reference41 articles.

1. Recurrent Broad Learning Systems for Time Series Prediction

2. Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction

3. Deep TEN: Texture Encoding Network

4. Deep multi-resolution dictionary learning for histopathology image analysis;hatami,2021

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