CTransCNN: Combining transformer and CNN in multilabel medical image classification-Reference-Cited by-同舟云学术

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CTransCNN: Combining transformer and CNN in multilabel medical image classification

Published:2023-12 Issue: Volume:281 Page:111030
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wu Xin,Feng Yue,Xu Hong,Lin Zhuosheng,Chen Tao,Li Shengke,Qiu Shihan,Liu Qichao,Ma Yuangang,Zhang Shuangsheng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference39 articles.

1. CheXGAT: A disease correlation-aware network for thorax disease diagnosis from chest X-ray images;Lee;Artif. Intell. Med.,2022

2. Chest radiograph interpretation with deep learning models: Assessment with radiologist-adjudicated reference standards and population-adjusted evaluation;Majkowska;Radiology,2020

3. Deep convolutional ranking for multilabel image annotation;Gong,2013

4. HCP: A flexible CNN framework for multi-label image classification;Wei;IEEE Trans. Pattern Anal. Mach. Intell.,2016

5. Multi-label classification of fundus images with EfficientNet;Wang;IEEE Access,2020

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