Knowledge Distillation In Medical Data Mining: A Survey

Author:

Meng Hefeng1,Lin Zhiqiang1,Yang Fan1,Xu Yonghui2,Cui Lizhen3

Affiliation:

1. School of Software, Shandong University, China

2. Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, China

3. Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR) & School of Software, Shandong University, China

Funder

Fundamental Research Funds of Shandong University

Publisher

ACM

Reference45 articles.

1. 2021. Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases . International Journal of Intelligent Systems ( 2021 ). 2021. Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases. International Journal of Intelligent Systems (2021).

2. Classification of lung sounds using convolutional neural networks

3. Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster;Back Seunghyeok;IEEE Access PP,2021

4. Zhengping Che Sanjay Purushotham Robinder Khemani and Yan Liu. 2015. Distilling knowledge from deep networks with applications to healthcare domain. arXiv preprint arXiv:1512.03542(2015). Zhengping Che Sanjay Purushotham Robinder Khemani and Yan Liu. 2015. Distilling knowledge from deep networks with applications to healthcare domain. arXiv preprint arXiv:1512.03542(2015).

5. Sahil Chelaramani , Manish Gupta , Vipul Agarwal , Prashant Gupta , and Ranya Habash . 2021 . Multi-Task Knowledge Distillation for Eye Disease Prediction. In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, and Ranya Habash. 2021. Multi-Task Knowledge Distillation for Eye Disease Prediction. In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

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