DCA-DAFFNet: An End-to-End Network With Deformable Fusion Attention and Deep Adaptive Feature Fusion for Laryngeal Tumor Grading From Histopathology Images-Reference-Cited by-同舟云学术

DCA-DAFFNet: An End-to-End Network With Deformable Fusion Attention and Deep Adaptive Feature Fusion for Laryngeal Tumor Grading From Histopathology Images

Published:2023 Issue: Volume:72 Page:1-15
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Luo Jiayang¹^ORCID,Huang Pan¹^ORCID,He Peng¹^ORCID,Wei Biao¹,Guo Xiaodong¹^ORCID,Xiao Hualiang²,Sun Yuchun³^ORCID,Tian Sukun³^ORCID,Zhou Mi⁴,Feng Peng¹^ORCID

Affiliation:

1. College of Optoelectronic Engineering, Chongqing University, Chongqing, China

2. Department of Pathology, Daping Hospital, Army Medical University, Chongqing, China

3. Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, Beijing, China

4. College of Science, Chongqing University of Technology, Chongqing, China

Funder

Graduate Scientific Research and Innovation Foundation of Chongqing

National Key Research and Development Program of China

National Natural Science Foundation of China

Chongqing Basic Research and Frontier Exploration Project

Chongqing Technology Innovation and Application Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

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