Published 1994 | Version v1
Miscellaneous Metadata-only

Viability of neural networks use for gamma-cameras signal digital processing in medical images formation

Creators

  • 1. Coordenadoria para Projetos Especiais (COPESP), Sao Paulo, SP (Brazil)

Description

The feasibility study of gamma-camera signal processing using neural networks in medical systems is presented. The retro-propagation network algorithm is applied with hyperbolic threshold function in the processing elements. The data for training and testing of the neural networks were simulated from a simplified model and the results showed the viability of the method. (C.G.C.). 5 refs, 8 figs

Part of:
Proceedings of the 5. General Congress on Nuclear Energy. v. 3

Additional details

Additional titles

Original title (Portuguese)
Viabilidade da aplicacao de redes neurais para o processameno digital de sinais de gama-camera para a formacao de imagens medicas

Publishing Information

Imprint Title
Proceedings of the 5. General Congress on Nuclear Energy. v. 3
Imprint Pagination
356 p.
Journal Page Range
p. 901-904.

Conference

Title
5. General Congress on Nuclear Energy.
Dates
28 Aug - 2 Sep 1994.
Place
Rio de Janeiro, RJ (Brazil).

INIS

Country of Publication
Brazil
Country of Input or Organization
Brazil
INIS RN
26056657
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE; S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
DIGITAL SYSTEMS; FEASIBILITY STUDIES; GAMMA CAMERAS; IMAGE PROCESSING; NEURAL NETWORKS; NUCLEAR MEDICINE; SIGNALS; USES
Descriptors DEC
CAMERAS; MEDICINE

Optional Information

Notes
Imprint:Anais do 5. Congresso Geral de Energia Nuclear. v. 3.