Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery

This paper proposes to characterize the continuum of colorectal cancer (CRC) using multiple texture features extracted from multispectral optical microscopy images. Three types of pathological tissues (PT) are considered: benign hyperplasia, intraepithelial neoplasia and carcinoma. In the proposed a...

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Veröffentlicht in:	PloS one 2016-02, Vol.11 (2), p.e0149893-e0149893
Hauptverfasser:	Chaddad, Ahmad, Desrosiers, Christian, Bouridane, Ahmed, Toews, Matthew, Hassan, Lama, Tanougast, Camel
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial intelligence Bioengineering Biology and Life Sciences Biomedical engineering Cancer Classification Coding Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - pathology Computer Science Data mining Development and progression Diagnosis Diagnostic Imaging Discriminant analysis Feature extraction Histograms Humans Hyperplasia Image processing Image Processing, Computer-Assisted Image segmentation Imagery Imaging In Vitro Techniques International conferences Laboratories Life Sciences Medical Imaging Medicine and Health Sciences Methods Microscopy NMR Nuclear magnetic resonance Optical microscopy Pathology Physical Sciences Research and Analysis Methods Segmentation Statistical analysis Texture Tissues Wavelet analysis Wavelet transforms
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