Automated high-throughput assessment of prostate biopsy tissue using infrared spectroscopic chemical imaging

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 9041, Issue , 2014, Pages

  Bassan, Paul ^a   Sachdeva, Ashwin ^a   Shanks, Jonathan H ^b   Brown, Mick D ^a,b   Clarke, Noel W ^a,b   Gardner, Peter ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b CHRISTIE HOSPITAL   (United Kingdom)

Author keywords

chemical imaging; diagnostics; Fourier transform infrared (FT IR) spectroscopy; machine learning; mid infrared; pattern recognition; prostate cancer; spectral histopathology

Indexed keywords

ARTIFICIAL INTELLIGENCE; FOURIER TRANSFORM INFRARED SPECTROSCOPY; LEARNING SYSTEMS; MEDICAL IMAGING; PATTERN RECOGNITION; PLASMA DIAGNOSTICS; REFRACTIVE INDEX; SIGNAL PROCESSING; UROLOGY;

CHEMICAL IMAGING; FOURIER TRANSFORM INFRA RED (FTIR) SPECTROSCOPY; MIDINFRARED; PROSTATE CANCERS; SPECTRAL HISTOPATHOLOGY;

TISSUE;

EID: 84901791797     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2043290     Document Type: Conference Paper

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