EchoAI: a deep-learning based appraoch for echinoderms in global oceans



Introduction

We collected raw data, performed data cleaning on the raw data and obtained a WoRMS (global data source) based dataset of echinoderm images.
In this study, we present a deep learning based approach to classify echinoderms from images, where deep convolutional network is used to extract high-level features, and Grad-CAM is applied to explain the patterns.


Availability: The EchoAI is available at www.csbio.sjtu.edu.cn/bioinf/EchoAI.




Figure 1. The flowchart of the proposed EchoAI  

© 2017 Computational Systems Biology/Shen Group.