Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Nobuo Suzumura"'
Publikováno v:
IEEE Engineering in Medicine and Biology Magazine. 9:53-57
A data-compression algorithm for digital Holter recording using artificial neural networks (ANNs) is described. A three-layer ANN that has a hidden layer with a few units is used to extract features of the ECG (electrocardiogram) waveform as a functi
Publikováno v:
Systems and Computers in Japan. 21:25-34
This paper proposes a reconstruction method for the 3-D distributional image of the absorption coefficient of the object. In the method, a cone-beam X-ray source and a 2-D detector array are placed in confronting positions on the opposite sides of th
Publikováno v:
[1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Publikováno v:
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.
X-ray tomo-synthesis with film can provide a sagittal slice image by a single scanning of measurement. Here we propose a reconstructing method for digital torn*synthesis. It utilizes a 3- dimensional convolution proceas with the inverse filter functi
Publikováno v:
ICASSP
This paper proposes a new procedure, which provides dynamic blood flow functions objectively and quantitatively. The procedure employs the analytical signal produced by time-density curve using Hilbert transformation. From the analytical signal the a
Publikováno v:
ICASSP
The digitalized radiographical system provides a set of radiographic projections from predetermined angles of view. From these finite set of digitized radiographs, the internal structure of the body at any arbitary sagital slice can be reproduced usi
Publikováno v:
Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society.
A data compression algorithm for digital Holter recording using artificial neural networks is proposed. Dual three-layer (one hidden layer) neural networks with only a few units in the hidden layer are used. The networks are tuned with supervised sig
Publikováno v:
[Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
CombNET-II is a self-growing four-layer neural network model which has a comb structure. The first layer constitutes a stem network which quantizes an input feature vector space into several subspaces and the following 2-4 layers constitute branch ne
Publikováno v:
IJCNN-91-Seattle International Joint Conference on Neural Networks.
Summary form only given. The authors propose a large-scale neural network model, CombNET-II, which consists of a four-layered network with a comb structure. A vector quantizing network forms the first layer as a stem and many three-layered networks f
Publikováno v:
IEEE transactions on medical imaging. 12(2)
Conventional X-ray tomosynthesis with film can provide a sagittal slice image with a single scan. This technique has the advantage of enabling reconstruction of a sagittal slice which is difficult to obtain from the X-ray CT system. However, only an