Multi-Level Residual Feature Fusion Network for Thoracic Disease Classification in Chest X-Ray Images-Reference-Cited by-同舟云学术

Multi-Level Residual Feature Fusion Network for Thoracic Disease Classification in Chest X-Ray Images

Author:

Li Qiang¹,Lai Yu¹^ORCID,Adamu Mohammed Jajere¹^ORCID,Qu Lei²^ORCID,Nie Jie³^ORCID,Nie Weizhi⁴^ORCID

Affiliation:

1. School of Microelectronics, Tianjin University, Tianjin, China

2. Hisense Group Holdings Company Ltd., Qingdao, Hisense, China

3. School of Electrical and Information Engineering, Ocean University of China, Qingdao, China

4. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Tianjin, China

Tianjin University Innovation Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference46 articles.

4. CheXNet: Radiologist-level pneumonia detection on chest X-rays with deep learning;rajpurkar;arXiv 1711 05225,2017

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