Abnormal tissue detection in computer tomography images using artificial neural networks

Tamer Olmez; Ertugrul Yazgan

doi:10.1109/IEMBS.1992.5761344

Abnormal tissue detection in computer tomography images using artificial neural networks

Tamer Olmez
, Ertugrul Yazgan

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

6 Atıf (Scopus)

Özet

Artificial neural network solutions have been applied to numerous image applications in the recent past. This paper describes a method to detect abnormal tissues in computer tomography (CT) head images by using an artificial neural network. We use a three-layer perceptron: An input layer with 882 nodes, one hidden layer with 30 nodes and an output layer with 3 nodes. The output nodes represent the bone, soft and abnormal tissue. The input layer of network does not directly receive the data from the original image. Two processes are applied to the pixels in subimage which has 7×7 pixels, and the results are fed to the input layer of the network. These processes provide necessary information for the tissue identification.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
Editörler	Jean Louis Coatrieux, Robert Plonsey, Swamy Laxminarayan, Jean Pierre Morucci
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	998-999
Sayfa sayısı	2
ISBN (Elektronik)	0780307852
DOI'lar	https://doi.org/10.1109/IEMBS.1992.5761344
Yayın durumu	Yayınlandı - 1992
Etkinlik	14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992 - Paris, France Süre: 29 Eki 1992 → 1 Kas 1992

Yayın serisi

Adı	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Hacim	3
ISSN (Basılı)	1557-170X

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
Ülke/Bölge	France
Şehir	Paris
Periyot	29/10/92 → 1/11/92

Bibliyografik not

Publisher Copyright:
© 1992 IEEE.

Belgeye Erişim

10.1109/IEMBS.1992.5761344

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Olmez, T., & Yazgan, E. (1992). Abnormal tissue detection in computer tomography images using artificial neural networks. In J. L. Coatrieux, R. Plonsey, S. Laxminarayan, & J. P. Morucci (Eds.), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992 (pp. 998-999). Makale 5761344 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Hac. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEMBS.1992.5761344

Olmez, Tamer ; Yazgan, Ertugrul. / Abnormal tissue detection in computer tomography images using artificial neural networks. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992. editör / Jean Louis Coatrieux ; Robert Plonsey ; Swamy Laxminarayan ; Jean Pierre Morucci. Institute of Electrical and Electronics Engineers Inc., 1992. pp. 998-999 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{796dc3da3d774a778780ea3eaf6e5753,

title = "Abnormal tissue detection in computer tomography images using artificial neural networks",

abstract = "Artificial neural network solutions have been applied to numerous image applications in the recent past. This paper describes a method to detect abnormal tissues in computer tomography (CT) head images by using an artificial neural network. We use a three-layer perceptron: An input layer with 882 nodes, one hidden layer with 30 nodes and an output layer with 3 nodes. The output nodes represent the bone, soft and abnormal tissue. The input layer of network does not directly receive the data from the original image. Two processes are applied to the pixels in subimage which has 7×7 pixels, and the results are fed to the input layer of the network. These processes provide necessary information for the tissue identification.",

author = "Tamer Olmez and Ertugrul Yazgan",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992 ; Conference date: 29-10-1992 Through 01-11-1992",

year = "1992",

doi = "10.1109/IEMBS.1992.5761344",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "998--999",

editor = "Coatrieux, \{Jean Louis\} and Robert Plonsey and Swamy Laxminarayan and Morucci, \{Jean Pierre\}",

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Olmez, T & Yazgan, E 1992, Abnormal tissue detection in computer tomography images using artificial neural networks. in JL Coatrieux, R Plonsey, S Laxminarayan & JP Morucci (eds), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992., 5761344, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, hac. 3, Institute of Electrical and Electronics Engineers Inc., pp. 998-999, 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992, Paris, France, 29/10/92. https://doi.org/10.1109/IEMBS.1992.5761344

Abnormal tissue detection in computer tomography images using artificial neural networks. / Olmez, Tamer; Yazgan, Ertugrul.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992. ed. / Jean Louis Coatrieux; Robert Plonsey; Swamy Laxminarayan; Jean Pierre Morucci. Institute of Electrical and Electronics Engineers Inc., 1992. p. 998-999 5761344 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Hac. 3).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Abnormal tissue detection in computer tomography images using artificial neural networks

AU - Olmez, Tamer

AU - Yazgan, Ertugrul

PY - 1992

Y1 - 1992

N2 - Artificial neural network solutions have been applied to numerous image applications in the recent past. This paper describes a method to detect abnormal tissues in computer tomography (CT) head images by using an artificial neural network. We use a three-layer perceptron: An input layer with 882 nodes, one hidden layer with 30 nodes and an output layer with 3 nodes. The output nodes represent the bone, soft and abnormal tissue. The input layer of network does not directly receive the data from the original image. Two processes are applied to the pixels in subimage which has 7×7 pixels, and the results are fed to the input layer of the network. These processes provide necessary information for the tissue identification.

AB - Artificial neural network solutions have been applied to numerous image applications in the recent past. This paper describes a method to detect abnormal tissues in computer tomography (CT) head images by using an artificial neural network. We use a three-layer perceptron: An input layer with 882 nodes, one hidden layer with 30 nodes and an output layer with 3 nodes. The output nodes represent the bone, soft and abnormal tissue. The input layer of network does not directly receive the data from the original image. Two processes are applied to the pixels in subimage which has 7×7 pixels, and the results are fed to the input layer of the network. These processes provide necessary information for the tissue identification.

UR - https://www.scopus.com/pages/publications/0012866131

U2 - 10.1109/IEMBS.1992.5761344

DO - 10.1109/IEMBS.1992.5761344

M3 - Conference contribution

AN - SCOPUS:0012866131

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 998

EP - 999

BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992

A2 - Coatrieux, Jean Louis

A2 - Plonsey, Robert

A2 - Laxminarayan, Swamy

A2 - Morucci, Jean Pierre

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992

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ER -

Olmez T, Yazgan E. Abnormal tissue detection in computer tomography images using artificial neural networks. In Coatrieux JL, Plonsey R, Laxminarayan S, Morucci JP, editörler, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992. Institute of Electrical and Electronics Engineers Inc. 1992. p. 998-999. 5761344. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.1992.5761344

Abnormal tissue detection in computer tomography images using artificial neural networks

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