SPCB-Net: A Multi-Scale Skin Cancer Image Identification Network Using Self-Interactive Attention Pyramid and Cross-Layer Bilinear-Trilinear Pooling

Author:

Qian Xin1ORCID,Weng Tengfei2ORCID,Han Qi1ORCID,Wu Chen1,Xu Hongxiang1,Hou Mingyang1,Qiu Zicheng1,Zhou Baoping3,Gao Xianqiang3

Affiliation:

1. School of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China

2. School of Electrical Engineering, Chongqing University of Science and Technology, Chongqing, China

3. School of Information Engineering, Tarim University, Alar, China

Funder

West Light Foundation of the Chinese Academy of Science

Research Foundation of the Natural Foundation of Chongqing City

Scientific and Technological Research Program of Chongqing Municipal Education Commission

Chongqing Science and Technology Military-Civilian Integration Innovation Project

Bingtuan Science and Technology Program in China

Sichuan Science and Technology Program

Luzhou Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cutting-edge Deep Learning Solutions for Precise Identification and Definition of Skin Cancer Lesions;2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET);2024-06-07

2. Classification of Multi-Class Skin Cancer using Deep Learning Algorithm;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

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