Paper
19 January 2001 Measurement of relative density of tissue using wavelet analysis and neural nets
Sergey I. Suyatinov, Sergey V. Kolentev, Tatyana I. Buldakova
Author Affiliations +
Abstract
Development of methods for indirect measurement of substance's consistence and characteristics is highly actual problem of medical diagnostics. Many diseases bring about changes of tissue density or appearances of alien bodies (e.g. stones in kidneys or gallbladders). Propose to use wavelet-analysis and neural nets for indirect measurement of relative density of tissue by images of internal organs. It shall allow to reveal a disease on early stage.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergey I. Suyatinov, Sergey V. Kolentev, and Tatyana I. Buldakova "Measurement of relative density of tissue using wavelet analysis and neural nets", Proc. SPIE 4158, Biomonitoring and Endoscopy Technologies, (19 January 2001); https://doi.org/10.1117/12.413806
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KEYWORDS
Tissues

Neurons

Photonic integrated circuits

X-rays

Neural networks

Image processing

Wavelets

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