Characterization of colorectal adenocarcinoma sections by spatially resolved FT-IR microspectroscopy

Applied Spectroscopy

Volumn 56, Issue 1, 2002, Pages 1-9

  Lasch, Peter ^a   Haensch, Wolfgang ^a   Lewis, E Neil ^a   Kidder, Linda H ^a   Naumann, Dieter ^a  

^a ROBERT KOCH INSTITUTE   (Germany)

Author keywords

Artificial neural network analysis; Biomedical spectroscopy; Cluster analysis; Colorectal adenocarcinoma; FT IR microspectroscopy; Imaging; Pattern recognition; Tissue classification

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTER AIDED ANALYSIS; DATABASE SYSTEMS; GASTROENTEROLOGY; HISTOLOGY; MEDICAL IMAGING; NEURAL NETWORKS; ONCOLOGY; PATTERN RECOGNITION; TISSUE;

ARTIFICIAL NEURAL NETWORK ANALYSIS; CLINICAL ANALYSIS; CLUSTER ANALYSIS; COLORECTAL ADENOCARCINOMA; TISSUE CLASSIFICATION;

FOURIER TRANSFORM INFRARED SPECTROSCOPY;

EID: 0036179788     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/0003702021954322     Document Type: Article

References (28)

1. What can infrared spectroscopy tell us about the structure and composition of intact bacterial cells?
2. FT-IR spectroscopy in the clinical science
3. A theory of networks for approximation and learning