Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation

• Main Authors: Nguyen, Long D., Lin, Dongyun, Lin, Zhiping, Cao, Jiuwen
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Engineering::Electrical and electronic engineering; Feature Concatenation; Microscopic Image
• Online Access: https://hdl.handle.net/10356/136682
• Institution: Nanyang Technological University

Deep convolutional neural networks (CNNs) have become one of the state-of-the-art methods for image classification in various domains. For biomedical image classification where the number of training images is generally limited, transfer learning using CNNs is often applied. Such technique extracts...