Prototype system for feature extraction, classification and study of medical images
作者：
Highlights：
• MIAS 3.0 supports automatic feature extraction and medical image classification.
• The system was developed according to prototyping, a software engineering approach.
• Experts found that MIAS 3.0 meets the proposed requirements and is a promising tool.
• MIAS 3.0 experimental evaluation was conducted in 67 image fragments.
• A J48 classifier built from Amadasun and Haralick features was the best MIAS setting.
摘要
•MIAS 3.0 supports automatic feature extraction and medical image classification.•The system was developed according to prototyping, a software engineering approach.•Experts found that MIAS 3.0 meets the proposed requirements and is a promising tool.•MIAS 3.0 experimental evaluation was conducted in 67 image fragments.•A J48 classifier built from Amadasun and Haralick features was the best MIAS setting.
论文关键词：Image analysis,Texture,Machine learning,Prototyping,Artificial intelligence,Medical information systems
论文评审过程：Received 25 May 2015, Revised 4 July 2016, Accepted 5 July 2016, Available online 11 July 2016, Version of Record 16 July 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.07.008
