Biomedical image classification based on a feature concatenation and ensemble of deep CNNs

• Main Authors: Nguyen, Long D., Gao, Ruihan, Lin, Dongyun, Lin, Zhiping
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Deep Convolutional Neural Network; Transfer Learning
• Online Access: https://hdl.handle.net/10356/146840
• Institution: Nanyang Technological University

Deep learning and more specifically Convolutional Neural Network (CNN) is a cutting edge technique which has been applied to many fields including biomedical image classification. To further improve the classification performance for biomedical images, in this paper, a feature concatenation method a...