Please use this identifier to cite or link to this item:
|Title:||Nonlinear optical microscopy signal processing strategies in cancer|
Carvalho, H. F.
Cesar, C. L.
Casco, V. H.
|Abstract:||This work reviews the most relevant present-day processing methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. Special emphasis has been placed on methods of non linear optical (NLO) microscopy image processing such as: second harmonic to autofluorescence ageing index of dermis (SAAID), tumor-associated collagen signatures (TACS), fast Fourier trans-form (FFT) analysis, and gray level co-occurrence matrix (GLCM)-based methods. These strategies are presented as a set of potential valuable diagnostic tools for early cancer detection. It may be proposed that the combination of NLO microscopy and informatics based image analysis approaches described in this review (all carried out on free software) may represent a powerful tool to investigate collagen organization and remodeling of extracellular matrix in carcinogenesis processes.|
Mamas - Câncer
Breast - Cancer
|Appears in Collections:||IFGW - Artigos e Outros Documentos|
IB - Artigos e Outros Documentos
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.