Differential Convolution for Medical Diagnosis

Charles Richard Watson; Catherine Millis

Differential Convolution for Medical Diagnosis

Charles Richard Watson, Catherine Millis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper describes differential convolution and its application to high-resolution three dimensional medical images to distinguish between normal and diseased tissue. Underlying image processing principles are presented focusing on texture analysis and prototype application of three dimensional convolution to identify normal, benign and malignant tissue.

Original language	English
Title of host publication	Proceedings of the 5th International Conference on Information Technology and Applications (ICITA 2008)
Editors	David Tien, Manolya Kavakli
Place of Publication	Bathurst, Australia
Publisher	International Conference on Information Technology and Application (ICITA)
Pages	355-360
ISBN (Print)	9780980326727
Publication status	Published - 2008
Event	ICITA 2008: 5th International Conference on Information Technology and Applications - Cairns, Australia Duration: 23 Jun 2008 → 26 Jun 2008

Conference

Conference	ICITA 2008: 5th International Conference on Information Technology and Applications
City	Cairns, Australia
Period	23/06/08 → 26/06/08

Keywords

Partial Differential Equations

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https://hdl.handle.net/1959.11/5297

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@inproceedings{35759bd72f584b6c985b3d1200ffb9e3,

title = "Differential Convolution for Medical Diagnosis",

abstract = "This paper describes differential convolution and its application to high-resolution three dimensional medical images to distinguish between normal and diseased tissue. Underlying image processing principles are presented focusing on texture analysis and prototype application of three dimensional convolution to identify normal, benign and malignant tissue.",

keywords = "Partial Differential Equations",

author = "Watson, \{Charles Richard\} and Catherine Millis",

year = "2008",

language = "English",

isbn = "9780980326727",

pages = "355--360",

editor = "David Tien and Manolya Kavakli",

booktitle = "Proceedings of the 5th International Conference on Information Technology and Applications (ICITA 2008)",

publisher = "International Conference on Information Technology and Application (ICITA)",

note = "ICITA 2008: 5th International Conference on Information Technology and Applications ; Conference date: 23-06-2008 Through 26-06-2008",

}

Watson, CR & Millis, C 2008, Differential Convolution for Medical Diagnosis. in D Tien & M Kavakli (eds), Proceedings of the 5th International Conference on Information Technology and Applications (ICITA 2008). International Conference on Information Technology and Application (ICITA), Bathurst, Australia, pp. 355-360, ICITA 2008: 5th International Conference on Information Technology and Applications, Cairns, Australia, 23/06/08. <https://hdl.handle.net/1959.11/5297>

Differential Convolution for Medical Diagnosis. / Watson, Charles Richard; Millis, Catherine.
Proceedings of the 5th International Conference on Information Technology and Applications (ICITA 2008). ed. / David Tien; Manolya Kavakli. Bathurst, Australia: International Conference on Information Technology and Application (ICITA), 2008. p. 355-360.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Differential Convolution for Medical Diagnosis

AU - Watson, Charles Richard

AU - Millis, Catherine

PY - 2008

Y1 - 2008

N2 - This paper describes differential convolution and its application to high-resolution three dimensional medical images to distinguish between normal and diseased tissue. Underlying image processing principles are presented focusing on texture analysis and prototype application of three dimensional convolution to identify normal, benign and malignant tissue.

AB - This paper describes differential convolution and its application to high-resolution three dimensional medical images to distinguish between normal and diseased tissue. Underlying image processing principles are presented focusing on texture analysis and prototype application of three dimensional convolution to identify normal, benign and malignant tissue.

KW - Partial Differential Equations

UR - http://trove.nla.gov.au/work/33730957

UR - http://icita2009.webs.com/

UR - https://www.scopus.com/pages/publications/67649226911

M3 - Conference contribution

SN - 9780980326727

SP - 355

EP - 360

BT - Proceedings of the 5th International Conference on Information Technology and Applications (ICITA 2008)

A2 - Tien, David

A2 - Kavakli, Manolya

PB - International Conference on Information Technology and Application (ICITA)

CY - Bathurst, Australia

T2 - ICITA 2008: 5th International Conference on Information Technology and Applications

Y2 - 23 June 2008 through 26 June 2008

ER -

Differential Convolution for Medical Diagnosis

Abstract

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