Pattern identification of biomedical images with time series: Contrasting THz pulse imaging with DCE-MRIs

作者：

Highlights：

• Recent advances in biomedical image analysis and classification are reviewed.

• THz pulse imaging and dynamic contrast enhanced magnetic resonance imaging are considered.

• Underlining commonalities of classification methods for the two imaging modalities are discussed.

• A unified multi-channel signal processing framework for biomedical image analysis is introduced.

摘要

Highlights•Recent advances in biomedical image analysis and classification are reviewed.•THz pulse imaging and dynamic contrast enhanced magnetic resonance imaging are considered.•Underlining commonalities of classification methods for the two imaging modalities are discussed.•A unified multi-channel signal processing framework for biomedical image analysis is introduced.

论文关键词：Complex extreme learning machine,Quaternary classification,Principal component analysis,Mahalanobis distance,Support vector machine,Extreme learning machine,Multi-channel signal processing,Tensor algebra,Computer-aided diagnosis,Terahertz pulse imaging,Time domain spectroscopy,Dynamic contrast-enhanced magnetic resonance images,Poly(dA-dT)-poly(dT-dA) DNA,Tumour microvasculature,Basal cell carcinomas

论文评审过程：Received 30 June 2015, Revised 28 December 2015, Accepted 16 January 2016, Available online 16 February 2016, Version of Record 15 March 2016.

论文官网地址：https://doi.org/10.1016/j.artmed.2016.01.005