Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification-Reference-Cited by-同舟云学术

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Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification

Published:2024-07-02 Issue: Volume:33 Page:297-305
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Huang Yuning¹,Zou Jingchen¹,Meng Lanxi²,Yue Xin¹,Zhao Qing¹,Li Jianqiang¹,Song Changwei¹,Jimenez Gabriel³,Li Shaowu²,Fu Guanghui³

Affiliation:

1. School of Software Engineering, Beijing University of Technology,Beijing,China

2. Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University,Department of Neuroimaging,Beijing,China

3. Sorbonne Université, Institut du Cerveau - Paris Brain Institute,ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié-Salpêtrière,Paris,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633612.pdf?arnumber=10633612

Reference68 articles.

1. Deep learning

2. The Application of Artificial Intelligence in Alzheimer's Research

3. GLA-Net: A global-local attention network for automatic cataract classification

4. Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs

5. ImageNet: A large-scale hierarchical image database

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