Medical image classification using synergic deep learning

Medical Image Analysis
Jianpeng ZhangYong Xia

Abstract

The classification of medical images is an essential task in computer-aided diagnosis, medical image retrieval and mining. Although deep learning has shown proven advantages over traditional methods that rely on the handcrafted features, it remains challenging due to the significant intra-class variation and inter-class similarity caused by the diversity of imaging modalities and clinical pathologies. In this paper, we propose a synergic deep learning (SDL) model to address this issue by using multiple deep convolutional neural networks (DCNNs) simultaneously and enabling them to mutually learn from each other. Each pair of DCNNs has their learned image representation concatenated as the input of a synergic network, which has a fully connected structure that predicts whether the pair of input images belong to the same class. Thus, if one DCNN makes a correct classification, a mistake made by the other DCNN leads to a synergic error that serves as an extra force to update the model. This model can be trained end-to-end under the supervision of classification errors from DCNNs and synergic errors from each pair of DCNNs. Our experimental results on the ImageCLEF-2015, ImageCLEF-2016, ISIC-2016, and ISIC-2017 datasets indicate tha...Continue Reading

Citations

Jun 26, 2020·Medical & Biological Engineering & Computing·Insha Majeed Wani, Sakshi Arora
Mar 30, 2020·Medical & Biological Engineering & Computing·Li MaChao Ye
Sep 26, 2020·Artificial Intelligence in Medicine·Long GaoShandong Wu
Feb 12, 2021·Sensors·Hochong Park, Joo-Hiuk Son
May 31, 2021·Computers in Biology and Medicine·Moloud AbdarSaeid Nahavandi
May 20, 2021·Journal of Healthcare Engineering·Ching-Chun ChangIsao Echizen
Aug 31, 2021·Computers in Biology and Medicine·Yu GuXiaoqi Lu
Oct 10, 2021·Biomedizinische Technik. Biomedical Engineering·Ahana Priyanka, Kavitha Ganesan

❮ Previous
Next ❯

Related Concepts

Related Feeds

Bioinformatics in Biomedicine

Bioinformatics in biomedicine incorporates computer science, biology, chemistry, medicine, mathematics and statistics. Discover the latest research on bioinformatics in biomedicine here.

Related Papers

IEEE Transactions on Medical Imaging
Jianpeng ZhangChunhua Shen
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Haiyun GuoHanqing Lu
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Xiaoqiang LuXuelong Li
Journal of Medical Imaging
Md Zahangir AlomVijayan K Asari
© 2022 Meta ULC. All rights reserved